Machine Learning List: Vol. 14, No. 2 Monday, Feb 11, 2002 Contents Calls for Papers and Meetings Announcements CFP: Adaptive Behavior in Anticipatory Learning Systems Workshop SIGKDD Paper Submission Site is open SBRN 2002 - First CFP SIGKDD 2002 - Call for Workshop/Tutorial/Panel Proposals ECOMAS 2002 DEADLINE EXTENDED to March 11, 2002!! FSKD'02-ICONIP'02-SEAL'02 Call For Papers CFP: Workshop on Recommendation and Personalization in eCommerce PAKDD: Knowledge Discovery in Multimedia and Complex Data ICANN 2002 Submission Deadline Extension CFP: IEEE Data Mining 2002 (new) Call for Papers for PAKDD 2002 Workshops ILP 2002 CFP Deadline CFP: Intelligent Data Analysis: An Invited Session in SCI2002 Job Announcements Postdocs in Computational Biology / Bioinformatics Postdoc in Bayesian Modeling, MCMC, bioinformatics Other two new books new book: Learning with Kernels The Machine Learning List is moderated. Contributions should be relevant to the scientific study of machine learning. Please send submissions for distribution to: ml@isle.org. For requests to be added, removed, or to change your email address, send email to: ml-request@isle.org. In general, submissions should be no more than a few full-screens of text. For meeting announcements, highlight the conference or workshop web page and give a summary description of the goals of the event. Information such as the list of program committee members, talk schedules, and registration forms are unnecessary and should not be included. Job adds are usually no more than a few full-screens so they should fit naturally. ---------------------------------------------------------------------- Calls for Papers and Meeting Announcements ------------------------------ From: Martin Butz Subject: CFP: Adaptive Behavior in Anticipatory Learning Systems Workshop (ABiALS 2002) Date: Mon, 4 Feb 2002 16:28:22 -0600 (CST) C A L L F O R P A P E R S ABiALS Workshop 2002 Adaptive Behavior in Anticipatory Learning Systems August 11., 2002 Edinburgh, Scotland http://www-illigal.ge.uiuc.edu/ABiALS to be held during the seventh international conference on Simulation of Adaptive Behavior (SAB'02) http://www.isab.org.uk/sab02/ This workshops aims for an interdisciplinary gathering of people interested in how anticipations can guide behavior as well as how an anticipatory influence can be implemented in an adaptive behavior system. Particularly, we are looking for adaptive behavior systems that incorporate some online anticipation mechanisms. AIM AND OBJECTIVES: Most of the research over the last years in artificial adaptive behavior with respect to model learning and anticipatory behavior has focused on the model learning side. Research is particularly engaged in online generalized model learning. Up to now, though, exploitation of the model has been done mainly to show that exploitation is possible or that an appropriate model exists in the first place. Only very few applications exist that show the utility of the model for the simulation of anticipatory processes and a consequent adaptive behavior. The aim of this workshop is to bring together researchers that are interested in anticipatory processes and essentially anticipatory adaptive behavior. It is aimed for an interdisciplinary gathering that brings together researchers from distinct areas so as to discuss the different guises that takes anticipation in these different perspectives. But the workshop intends to focus on anticipations in the form of low-level computational processes rather than high-level processes such as explicit planning. IMPORTANT DATES: 31.March 2002: Deadline for Submissions 15.May 2002: Notification of Acceptance 15.June 2002: Camera Ready Version for SAB Workshop Proceedings 11.August 2002: Workshop ABiALS ------------------------------ From: Osmar Zaiane Subject: SIGKDD Paper Submission Site is open Date: Tue, 5 Feb 2002 18:47:19 -0700 (MST) The Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2002) There are only few days left before the paper submission deadline. Submission of abstracts: Friday February 22, 2002 Submission of papers: Friday March 1, 2002 The web site for paper submissions is now open. You can access the site via the conference web site at http://www.acm.org/sigkdd/kdd2002/ All papers have to be submitted electronically at the paper submission web site. No paper will be considered without having the abstract submitted in time, also electronically. Note that papers for both research track and industry track have the same deadlines. Please check the call for papers for more details. The conference web site is available at http://www.acm.org/sigkdd/kdd2002/ ------------------------------ From: "Marcilio C. Pereira de Souto" Subject: SBRN 2002 - First CFP Date: Wed, 6 Feb 2002 14:44:07 -0200 (EDT) FIRST CALL FOR PAPERS SBRN'2002 - VII BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS (http://www.cin.ufpe.br/~sbiarn02) Recife, November 11-14, 2002 The biannual Brazilian Symposium on Artificial Neural Networks (SBRN) - of which this is the 7th event - is a forum dedicated to Neural Networks (NNs) and other models of computational intelligence. The emphasis of the Symposium will be on original theories and novel applications of these computational models. The Symposium welcomes paper submissions from researchers, practitioners, and students worldwide. The proceedings will be published by the IEEE Computer Society. Selected, extended, and revised papers from SBRN'2002 will be also considered for publication in a special issue of the International Journal of Neural Systems and of the Journal of Intelligent and Fuzzy Systems. SBRN'2002 is sponsored by the Brazilian Computer Society (SBC) and co-sponsored by SIG/INNS/Brazil Special Interest Group of the International Neural Networks Society in Brazil. It will take place November 11-14, and will be held in Recife at a beach resort. Recife, located on the northeast coast of Brazil, is known as the "Brazilian Venice" because of its many canals and waterways and the innumerable bridges that span them. It is the major gateway to the Northeast with regular flights to all major cities in Brazil as well as Lisbon, London, Frankfurt, and Miami. See more information about the place ( http://www.braziliantourism.com.br/pe-pt1-en.html) that will host the event. SBRN'2002 will be held in conjunction with the XVI Brazilian Symposium on Artificial Intelligence (http://www.cin.ufpe.br/~sbiarn02) (SBIA). SBIA has its main focus on symbolic AI. Crossfertilization of these fields will be strongly encouraged. Both Symposiums will feature keynote speeches and tutorials by world-leading researchers. The deadline for submissions is April 15, 2002. More details on paper submission and conference registration will be coming soon. DEADLINES: Submission: 15 April 2002 Acceptance: 17 June 2002 Camera-ready: 22 August 2002 PAPER SUBMISSION: Prospective authors are invited to submit 6-page, 11-point, double-column papers (postscript or pdf format) written in English, Portuguese or Spanish - see the style file at (http://computer.org/cspress/instruct.htm). More details on paper submission and conference registration will be coming soon. ------------------------------ From: Osmar Zaiane Subject: SIGKDD 2002 - Call for Workshop/Tutorial/Panel Proposals Date: Wed, 6 Feb 2002 18:09:02 -0700 (MST) SIGKDD -- WORKSHOPS/TUTORIALS/PANELS CALL FOR PROPOSALS -- DEADLINE: FEBRUARY 22, 2002 The Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining July 23-26, 2002 Edmonton, Alberta, Canada Call for Workshop, Tutorial, and Panel Proposals In the past few years, the ACM SIGKDD conference has established itself as one of the premier conferences on knowledge discovery and data mining. To continue with this tradition, the eighth ACM SIGKDD conference will provide a forum for the academic researchers and industry practitioners to share their research and experience. The conference will be co-located with AAAI. It will feature keynote presentations, plenary paper presentations, poster presentations, tutorials, workshops, panels, as well as the KDD Cup competition. The organizing committee is soliciting proposals for Workshops, Tutorials and Panels related to KDD. (details below) More details can be found at http://www.acm.org/sigkdd/kdd2002/ IMPORTANT DATES February 22, 2002 --- Workshop/Tutorial/Panel proposals due ------------------------------ From: "Robert E. Smith" Subject: ECOMAS 2002 DEADLINE EXTENDED to March 11, 2002!! Date: Thu, 7 Feb 2002 17:58:51 -0000 Due to lots of impending deadlines for everyone, we are extending the ECOMAS 2002 Deadline to March 11, 2002. Evolutionary COmputation and Multi-Agent Systems (ECOMAS 2002) A Birds-Of-A-Feather Workshop At GECCO 2002 Description Of The Workshop Topic Multi-agent systems (MAS) are collections of interacting autonomous entities. The behaviour of the MAS is a result of the repeated asynchronous action and interaction of the agents. Understanding how to engineer adaptation and self-organisation is thus central to the application of agents on a large scale. Moreover, multi-agent simulations can also be used to study emergent behaviour in real systems. Desirable self-organisation is observed in many biological, social and physical systems. However, fostering these conditions in artificial systems proves to be difficult and offers the potential for undesirable behaviours to emerge. Thus, it is vital to be able to understand and shape emergent behaviours in agent based systems. Current mathematical and empirical tools give only a partial insight into emergent behaviour in large, agent-based societies. EC provides a paradigm for addressing this need. Moreover, EC techniques are inherently based on a distributed paradigm (natural evolution), making them particularly well suited for adaptation in agents. At the same time, ideas from natural ecosystems or economies, such as resource flows, niches, and spatial context or neighbourhood can contribute both to the development of MAS and to the improvement of EC techniques. The interaction between these different sources of natural inspiration and the two computing disciplines of MAS and EC is beginning to stimulate a range of systems with properties that extend the MAS and EC concepts in new and interesting directions. Notable examples of systems of that begin to examine the issues of EC in MAS include Holland's ECHO system, Tierra, Avalanche, Egglets, Amalthaea, InfoSpiders, and many others. The workshop follows ECoMAS 2001, which was conducted at GECCO-2001. With more than 70 attendees, ECoMAS 2001 was, in our opinion, a great success. As a result of that workshop (and in order to address a pressing need shared by the majority of the attendees), we have created, organised and launched a new Internet interested community: the ECoMAS Community. Community homepage: www.csm.uwe.ac.uk/~rsmith/ECOMAS/index.htm There is also a discussion forum associated to the community: Forum homepage: http://groups.yahoo.com/group/ecomas IMPORTANT DATES: Submissions Due: March 11, 2002 Review Decisions To Authors: March 25, 2002 Camera Ready Due: April 23, 2002 Web Materials Due: June 1, 2002 GECCO 2002 Dates: July 9-13, 2002 ------------------------------ From: "ICONIP'02-SEAL'02-FSKD'02" Subject: FSKD'02-ICONIP'02-SEAL'02 Call For Papers Date: Fri, 8 Feb 2002 15:57:19 +0800 International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'02) 9th International Conference on Neural Information Processing (ICONIP'02) 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL'02) November 18 - 22, 2002, Orchid Country Club, Singapore http://www.ntu.edu.sg/home/nef Organized by: School of Electrical and Electronic Engineering Nanyang Technological University, Singapore Sponsored by: Asia-Pacific Neural Network Assembly SEAL & FSKD Steering Committees Lee Foundation In Co-Operation with: IEEE Neural Network Council International Neural Network Society European Neural Network Society SPIE CALL FOR PAPERS FSKD'02, ICONIP'02, and SEAL'02 will be jointly held in Orchid Country Club, Singapore from November 18 to 22, 2002. The conferences will not only feature the most up-to-date research results in neural information processing, evolutionary computation, fuzzy systems, and knowledge discovery, but also promote cross-fertilization over these exciting and yet closely-related areas. Registration to any one of the conferences will entitle a participant to the technical sessions and the proceedings of all three conferences, as well as the conference banquet, buffet lunches, and tours to two of the major attractions in Singapore, i.e., Night Safari and Sentosa Resort Island. Many well- known researchers will present keynote speeches, panel discussions, invited lectures, and tutorials. SUBMISSION OF PAPERS Authors are invited to submit electronic files (postscript, pdf or Word format) through the conference home page. Papers should be double-column and use 10 pt Times Roman or similar fonts. The final version of a paper should not exceed 5 pages in length. A selected number of accepted papers will be expanded and revised for possible inclusion in edited books and peer-reviewed journals, such as "Soft Computing" and "Knowledge and Information Systems: An International Journal" by Springer-Verlag. SPECIAL SESSIONS The conferences will feature special sessions on specialized topics to encourage in-depth discussions. To propose a special session, email the session title, contact information of the organizer(s), and a short description on the theme and topics covered by the session to Xin Yao, Special Sessions Chair (x.yao@cs.bham.ac.uk), with a copy to Lipo Wang, General Chair (Cc: elpwang@ntu.edu.sg). IMPORTANT DATES Paper/Summary Deadline : April 30, 2002 Notification of Acceptance : July 15, 2002 Final Paper/ Registration : August 15, 2002 FOR MORE INFORMATION Please visit the conference home page. ------------------------------ From: ricci@itc.it Subject: CFP: Workshop on Recommendation and Personalization in eCommerce Date: Fri, 08 Feb 2002 12:16:16 +0100 (MET) CALL FOR PAPERS WORKSHOP ON RECOMMENDATION AND PERSONALIZATION IN ECOMMERCE 28/5/2002 - Malaga, Spain http://ectrl.itc.it/rpec/ at 2nd International Conference on Adaptive Hypermedia and Adaptive Web Based Systems 29/5/2002 - 31/5/2002, Malaga, Spain http://sirius.lcc.uma.es/AH2002/ Electronic commerce is the process of managing business occurring over networks, which use non-proprietary protocols such as Internet. Recommender systems are e-commerce applications that provide advice to users about products or services they might be interested in. Web based recommender systems are the most notable application of the web personalization, i.e., the process of tailoring a web site to individual users' characteristics or preferences. Recommender systems are exploiting a vast range of AI technologies and are defining new scenarios for human to human and human to machine interaction. The ultimate goal is to offer an enhanced one-to-one solution for each single user and meet his needs more effectively and efficiently. There remain difficulties limiting the full exploitation of personalization and recommendation, arising both from technology and from the "human factor." The goal of this workshop is to bring together academic and industrial researchers to discuss the most innovative approaches to recommendation in the context of personalised e-Commence applications and in particular to discuss emerging related topics such as: modelling decision making in recommendation systems, cooperative query answering, session modelling, user modelling, web mining, methodologies for comparison and explanation of recommendations. Electronic submission: e-mail a PDF version of your manuscript to the workshop organizer at ricci@itc.it. WORKSHOP WEB SITE: http://ectrl.itc.it/rpec/ IMPORTANT DATES Extended abstract submission deadline March 24th 2002 Notification of acceptance April 15th 2002 Final version due May 5th 2002 Date of the workshop May 28th 2002 ------------------------------ From: Osmar Zaiane Subject: PAKDD: Knowledge Discovery in Multimedia and Complex Data Date: Fri, 8 Feb 2002 10:47:07 -0700 (MST) CALL FOR PAPERS CALL FOR PAPERS CALL FOR PAPERS CALL FOR PAPERS International Workshop on Knowledge Discovery in Multimedia and Complex Data (KDMCD'02) Taipei, Taiwan, May 6, 2002 http://db.cs.ualberta.ca/kdmcd02/ In conjunction with the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-02), Taipei, Taiwan, May 6-8 2002 http://arbor.ee.ntu.edu.tw/pakdd02/ OBJECTIVES Multimedia Data Mining, also known as Knowledge Discovery from Multimedia, is not Information Retrieval from multimedia, contrary to popular belief, but the extraction of interesting patterns and new facts from multimedia objects. Knowledge discovery in multimedia databases is focused on the synergy between two fields: Knowledge Discovery and Multimedia Databases. Knowledge discovery and data mining, which consist in extracting valuable and relevant knowledge from large volumes of data, have received much attention these last years. The approaches used for knowledge discovery are non-trivial and often domain specific, depending on the canonical mining primitives. The data patterns discovered are typically used in decision-making whether in business, in scientific research or other. While significant research has been done on knowledge discovery from large corpora, most of the approaches are related to numerical transactional data such as market-basket analysis, web activities, etc., thus very little has been achieved on mining multimedia data probably due to the complexity of multimedia and multimedia repositories. The aim of this workshop is to bring together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines with potential in multimedia data mining. TOPICS OF INTEREST The major topics of the workshop include but are not limited to: - Multimedia specific data mining methods and algorithms, - Complexity, efficiency & scalability of multimedia data mining algorithms, - Multimedia data mining and interactive exploration, - Data and Knowledge visualization, - Mining and analysis of data generated by virtual reality systems, - Integrated data mining of text and image data, - Discovery in musical data, - Methods for the evaluation of mining results, - Knowledge Discovery in other complex data (Spatial, VRML, XML, etc.), - Data description languages, meta data, data formats, - Representation of discovered knowledge for data mining in multimedia, - Multimedia data representation and reuse of discovered knowledge, - Techniques for web multimedia preparation, including cleaning, - Transforming, sampling, - Multimedia mining methodologies for different web data types, - Web-content mining, - Internet portal and multimedia mining, - Multimedia applications of knowledge discovery, - Intelligent electronic documents, - Content-based discovery methods. We also encourage submissions, which present early stages of research work, software applications and solutions. IMPORTANT DATES Paper submission: February 15, 2002 Notification: March 1, 2002 Camera-ready: March 15, 2002 ------------------------------ From: Jose Dorronsoro Subject: ICANN 2002 Submission Deadline Extension Date: Fri, 08 Feb 2002 19:10:11 +0100 ICANN 2002 Submission Deadline Extension Because of numerous requests, the February 15 deadline for submission of papers to the 12th International Conference on Artificial Neural Networks, ICANN 2002, has been extended to February 28. Acceptance or rejection will be notified by April 15, 2002 Submissions must be in postscript or pdf format and can be either uploaded or sent by surface mail or e-mail attach. Please check the author's instructions in the ICANN 2002 web page, www.ii.uam.es/icann2002. Notice also that, in any case, a Unique Tracking Number must be obtained first for each submission. The very simple procedure for UTN getting can also be started from the ICANN 2002 web page. ------------------------------ From: icdm02@kis.maebashi-it.ac.jp Subject: CFP: IEEE Data Mining 2002 (new) Date: Sun, 10 Feb 2002 00:36:18 +0900 !!! NOTE: The Conference Date Changed to December 9-12, 2002 !!! ICDM '02: The 2002 IEEE International Conference on Data Mining Sponsored by the IEEE Computer Society Maebashi TERRSA, Maebashi City, Japan December 9 - 12, 2002 Home Page: http://kis.maebashi-it.ac.jp/icdm02 Mirror Page: http://www.wi-lab.com/icdm02 The 2002 IEEE International Conference on Data Mining (IEEE ICDM '02) provides a leading international forum for the sharing of original research results and practical development experiences among researchers and application developers from different data mining related areas such as machine learning, automated scientific discovery, statistics, pattern recognition, knowledge acquisition, soft computing, databases and data warehousing, data visualization, and knowledge-based systems. The conference seeks solutions to challenging problems facing the development of data mining systems, and shapes future directions of research by promoting high quality, novel and daring research findings. As an important part of the conference, the workshops program will focus on new research challenges and initiatives. TOPICS OF INTEREST Topics related to the design, analysis and implementation of data mining theory, systems and applications are of interest. These include, but are not limited to the following areas: - Foundations and principles of data mining - Data mining algorithms and methods in traditional areas (such as classification, clustering, probabilistic modeling, and association analysis), and in new areas - Data and knowledge representation for data mining - Modeling of structured, textual, temporal, spatial, multimedia and Web data to support data mining - Complexity, efficiency, and scalability issues in data mining - Data pre-processing, data reduction, feature selection and feature transformation - Statistics and probability in large-scale data mining - Soft computing (including neural networks, fuzzy logic, evolutionary computation, and rough sets) and uncertainty management for data mining - Integration of data warehousing, OLAP and data mining - Man-machine interaction in data mining and visual data mining - Artificial intelligence contributions to data mining - High performance and distributed data mining - Machine learning, pattern recognition and automated scientific discovery - Quality assessment and interestingness metrics of data mining results - Process centric data mining and models of data mining process - Security and social impact of data mining - Emerging data mining applications, such as electronic commerce, bioinformatics, Web intelligence, and intelligent learning database systems Important Dates June 5, 2002 Main track paper submissions Industry track paper submissions June 30, 2002 Tutorial submissions Panel submissions Workshop proposals August 16, 2002 Paper acceptance notices September 12, 2002 Final camera-readies December 9-12, 2002 Conference All paper submissions will be handled electronically. Detailed instructions are provided on the conference home page at http://kis.maebashi-it.ac.jp/icdm02 and http://www.wi-lab.com/icdm02 ------------------------------ From: Huan Liu Subject: Call for Papers for PAKDD 2002 Workshops Date: Sun, 10 Feb 2002 15:24:51 -0700 http://arbor.ee.ntu.edu.tw/pakdd02/ There will be five workshops at PAKDD 2002. They are W1: Web Mining Technologies and Wireless Applications Chaired by Jushua Huang and Qiang Yang W2: Knowledge Discovery in Multimedia and Complex Data Chaired by Chabane Djeraba and Osmar R. Zaiane W3: Mining Data across Multiple Customer Touchpoints for CRM Chaired by San-Yih Hwang, Ee-Peng Lim, Jaideep Srivastava, and Jau Hwang Wang W4: Toward the Foundation of Data Mining Chaired by T.Y. Lin and C.J. Liau W5: Text Mining Chaired by George Karypis, Ah-Hwee Tan, and Eui-Hong (Sam) Han The details and contact information about each workshop can be found at: http://www.public.asu.edu/~huanliu/pakdd-wk02.html ------------------------------ From: iba@apres.stanford.edu Subject: ILP 2002 CFP Deadline Date: Mon, 11 Feb 2002 09:28:30 -0800 (PST) Inductive Logic Programming 2002 Paper Submission Deadline Feb. 17, 2002. See www.site.uottawa.ca/~stan/ilp2002 for the topics list. There is a strong push to extend conference coverage to relational learning in representations other than Prolog, to link discovery, and to learning of probabilistic relations. ------------------------------ From: Richi Nayak Subject: CFP: Intelligent Data Analysis: An Invited Session in SCI2002 Date: Tue, 12 Feb 2002 13:41:28 +1000 CALL FOR PAPERS INVITED SESSION INTELLIGENT DATA ANALYSIS IN CONJUNCTION WITH THE 6TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS, AND INFORMATICS (SCI 2002) Sheraton World Resort, Orlando, Florida, USA July 14-18, 2002 Conference Site http://www.iiis.org/sci2002/ SESSION DESCRIPTION Advances in data collection methods, storage methods and processing technologies are providing a unique challenge and opportunity for intelligent data analysis. Enormous amounts of data are being collected daily in many fields of knowledge, from science to engineering, from management to process control and from research to entertainment. This explosive growth in data has generated an urgent need for techniques and tools that can intelligently and automatically transform the processed data into useful information and knowledge. Analysis of these data gives a better understanding of the phenomenon of interest. The main objective of any data analysis is therefore to discover knowledge that will be used to solve problems or make decisions. Data analysts now have access to tools for decision tree induction, neural induction, second generation and commercial data mining, pre-processing, post-processing and visualisation. There are tools for traditional, relatively small samples and also for enormous datasets. In brief, the scope for analysing data in intelligent ways has never been so exciting. The aim is to bring together a wide variety of researchers concerned with extracting knowledge from data, including people from machine learning, neural networks, information systems, computer science, pattern recognition, database management, statistics and other areas. This invited session aims to provide a forum for researchers and practitioners in these different area to exchange ideas and inspiration, so that a better understanding is developed of the process of intelligent data analysis. We encourage submission of papers on a wide spectrum of topics including, but not restricted to the following: ALGORITHMS & TECHNIQUES: data mining data pre-processing data post-processing information extraction, information retrieval decision analysis data analysis knowledge-based analysis machine learning pattern recognition visualization SCHEDULE Submission of paper title and authors details: February 18, 2002 Full paper submission: March 11, 2002 Notification of acceptance: March 31, 2002 Camera ready copies submission: April 15, 2002 ------------------------------ Jobs ------------------------------ From: Jude Shavlik Subject: Postdocs in Computational Biology / Bioinformatics Date: Fri, 08 Feb 2002 13:31:06 -0600 Post-Doctoral Opportunities in the New UW-Madison Computation and Informatics for Biology and Medicine (CIBM) Training Program The University of Wisconsin - Madison has recently been awarded funding from the National Library of Medicine for a new interdisciplinary training program in computational biology / bioinformatics. This grant includes several post-doctoral positions, and we are looking for machine learning researchers interested in post-doctoral training in this rapidly growing area. Due to federal rules, these post doc's are limited to US citizens and permanent residents. Stipends are set by the National Institutes of Health (see http://grants.nih.gov/grants/guide/notice-files/NOT-OD-02-028.html) Please see http://www.cs.wisc.edu/areas/ai/uwcompbio.html for more information about our research activities in this area. Information on the Wisconsin CIBM training program can be found at http://www.cibm.wisc.edu/ Mark Craven (craven@cs.wisc.edu) David Page (dpage@cs.wisc.edu) Jude Shavlik (shavlik@cs.wisc.edu) Department of Computer Sciences University of Wisconsin 1210 West Dayton Street Madison, WI 53706 PS - We also have pre-doctoral traineeships for people interested in this research area. However, applications for Fall 2002 are already closed and the next application deadline is Dec 31, 2001, for Fall 2003 (see http://www.cs.wisc.edu/grad_admissions.html). ------------------------------ From: ML-list request administration Subject: Postdoc in Bayesian Modeling, MCMC, bioinformatics Date: Mon, 11 Feb 2002 18:07:19 -0800 (PST) Postdoctoral position in BAYESIAN MODELING, MARKOV CHAIN MONTE CARLO, BIOINFORMATICS Radford Neal, University of Toronto I am looking for a postdoc who is interested in the following areas: o Bayesian statistical modeling, especially flexible models such as those based on Dirichlet process mixtures, neural networks, and Gaussian processes. o Markov chain Monte Carlo methods, either general in scope, or tailored to specific Bayesian models. o Applications of flexible models in bioinformatics, especially analysis of spectroscopic data, analysis of gene expression data from DNA microarrays, and inference for phylogenetic trees. Candidates should have a PhD in a relevant discipline (or be about to receive one), and have an excellent background in at least one of the above areas, plus a willingness and ability to learn about the others. This position is for one year, with possibility of extension to two years, starting no later than August 2002 (preferably sooner). There will be opportunities to apply for sessional teaching in Statistics or Computer Science if desired. The University of Toronto has a large and diverse group of faculty, graduate students, and postdocs in Statistics and in Machine Learning. To learn more about what is going on here, visit the Statistics site at http://utstat.utoronto.ca and the web site for the Machine Learning group (in Computer Science) at http://www.cs.utoronto.ca/learning/. For more about my personal research interests, see my web pages at http://www.cs.utoronto.ca/~radford/. Applicants should EMAIL a CV, the email addresses of two references, and a description of their research background and interests to me at radford@cs.utoronto.ca. Plain text is preferred, but Postscript, PDF, and (if you really have to) MS Word documents will also be read. All applications that are received by February 15 will be considered. Those received after that will be considered if the position has not already been filled. Radford M. Neal radford@cs.utoronto.ca Dept. of Statistics and Dept. of Computer Science radford@utstat.utoronto.ca University of Toronto http://www.cs.utoronto.ca/~radford ------------------------------ Other ------------------------------ From: Jud Wolfskill Subject: two new books Date: Wed, 06 Feb 2002 15:08:07 -0500 Learning Kernel Classifiers Theory and Algorithms Ralf Herbrich http://mitpress.mit.edu/026208306X/ This book provides the first comprehensive overview of both the theory and algorithms of kernel classifiers, including the most recent developments. It begins by describing the major algorithmic advances: kernel perceptron learning, kernel Fisher discriminants, support vector machines, relevance vector machines, Gaussian processes, and Bayes point machines. Then follows a detailed introduction to learning theory, including VC and PAC-Bayesian theory, data-dependent structural risk minimization, and compression bounds. Throughout, the book emphasizes the interaction between theory and algorithms: how learning algorithms work and why. The book includes many examples, complete pseudo code of the algorithms presented, and an extensive source code library. 7 x 9, 384 pp., cloth 0-262-08306-X Adaptive Computation and Machine Learning series The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology Clark Glymour http://mitpress.mit.edu/0262072203 In his new book, Clark Glymour provides an informal introduction to the basic assumptions, algorithms, and techniques of causal Bayes nets and graphical causal models in the context of psychological examples. He demonstrates their potential as a powerful tool for guiding experimental inquiry and for interpreting results in developmental psychology, cognitive neuropsychology, psychometrics, social psychology, and studies of adult judgment. Using Bayes net techniques, Glymour suggests novel experiments to distinguish among theories of human causal learning and reanalyzes various experimental results that have been interpreted or misinterpreted--without the benefit of Bayes nets and graphical causal models. The capstone illustration is an analysis of the methods used in Herrnstein and Murray's book The Bell Curve; Glymour argues that new, more reliable methods of data analysis, based on Bayes nets representations, would lead to very different conclusions from those advocated by Herrnstein and Murray. 6 x 9, 250 pp., 100 illus., ISBN cloth 0-262-07220-3 A Bradford Book ------------------------------ From: Jud Wolfskill Subject: new book: Learning with Kernels Date: Thu, 07 Feb 2002 14:16:45 -0500 Learning with Kernels Support Vector Machines, Regularization, Optimization, and Beyond Bernhard Schölkopf and Alexander J. Smola In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs--kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by the choice of the kernel function and the base algorithm. They are replacing neural networks in a variety of fields, including engineering, information retrieval, and bioinformatics. Learning with Kernels provides an introduction to SVMs and related kernel methods. Although the book begins with the basics, it also includes the latest research. It provides all of the concepts necessary to enable a reader equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy-to-use kernel algorithms and to understand and apply the powerful algorithms that have been developed over the last few years. Bernhard Schölkopf is Director at the Max Planck Institute for Biological Cybernetics in Tübingen and a Researcher at Biowulf Technologies in New York City. Alexander J. Smola is Leader of the Machine Learning Group, Research School for Information Sciences and Engineering, the Australian National University. 8 x 10, 632 pp., 138 illus., cloth, ISBN 0-262-19475-9 Adaptive Computation and Machine Learning series For more information, please visit http://mitpress.mit.edu/0262194759/ ------------------------------ End of ML-LIST Digest Vol 14, No. 1 ***********************************