Machine Learning List: Vol. 13, No. 9 Saturday, December 29, 2001 Contents Calls for Papers and Meeting Anouncements ICML2002 Call for Workshop Proposals CFP: Workshop on "Approximation and Learning in EC" [CFP] ECAI 2002 WS: IDAMAP 2002 ECCBR 2002 First Call for Papers CFP: ILP 2002 Call for Papers: ECML/PKDD 2002 I International Conference on INDUCTIVE MODELLING: cfp CALL for WORKSHOPS - ITS 2002 IBERAMIA'2002 - PRELIMINARY CALL FOR PAPERS [ECAI'02-Workshop] Knowledge Discovery from Temporal and Spatial Data CFP: Machine learning in bioinformatics @ KES02 Job Announcements PhD Studentship available at The Univ of Manchester, Comp. Science Dept. Research Post in Smart Web Technologies Centre 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 Anouncements ------------------------------ From: icml2002@cse.unsw.edu.au (ICML 2002) Subject: ICML2002 Call for Workshop Proposals Date: Mon, 10 Dec 2001 10:36:14 +1100 (EST) Call for Workshop Proposals International Conference on Machine Learning (ICML-2002) The ICML-2002 Organizing Committee invites proposals for workshops to be held at the Nineteenth International Conference on Machine Learning (ICML-2002). ICML-2002 workshops will be held on the first day of the conference, 9 July, at the University of New South Wales, the site of all ICML-2002 events. Workshop proposals should be submitted as outlined below. ICML workshops provide organizers and participants with an opportunity to focus intensively on a specific topic within machine learning. Often, workshops concentrate on an emerging topic of technical interest, a unique area of application for machine learning technologies or a community-wide issue that deserves specialized attention. PROPOSALS Workshop proposals should provide sufficient information to evaluate the quality and importance of the topic, the goals of the workshop, and the size of the interested community. Proposals should identify one or more chairs and several other individuals willing to serve on an organizing committee and assist with publicity and reviewing. Proposals should be 2-4 pages and contain at least the following information: * Description -- What will the workshop be about? Why is the topic best addressed in an ICML workshop, as opposed to a workshop at another conference or papers in an ICML technical session? * Goals -- What do you expect will come out of the workshop? How will the workshop change participants' understanding of the area? * Format -- How will the workshop sessions be scheduled? How much time will be used for discussion, panel discussions, paper presentations, invited talks, or other methods for encouraging communication and consensus? Organizers are encouraged to focus on mechanisms other than traditional paper presentations and to differentiate themselves clearly from typical conference sessions. * Publicity -- How do you intend to publicize the workshop? How will you reach the most interested and appropriate participants? * Potential participants -- Who are potential participants in the workshop? * Organizers -- Please include the name, postal address, phone number, e-mail address, and webpage of each chair and each member of the organizing committee. In addition, indicate the chairs' background in the workshop area. IMPORTANT DATES 25 January 2000 Proposals due 5 February 2000 Notification 22 February 2002 Publicity material due 22 April 2002 Written materials due 29 April 2002 Notification to participants 31 May 2002 Working notes due 9 July 2002 Workshop held Proposals will be reviewed by the workshop chair and members of the organizing committee. Please submit an electronic copy (plain text, PostScript or PDF) to the workshop chair. Proposals should be submitted to: Tatjana Zrimec tatjana@cse.unsw.edu.au ADDITIONAL INFORMATION For additional information, see the web site for the conference: http://www.cse.unsw.edu.au/~icml2002/ which will provide additional details as they become available. If you have questions about ICML-2002, please send electronic mail to icml2002@cse.unsw.edu.au ------------------------------ From: Yaochu Jin Subject: CFP: Workshop on "Approximation and Learning in EC" Date: Mon, 10 Dec 2001 11:03:56 +0100 (MET) CALL FOR PAPERS A workshop on ``Approximation and Learning in Evolutionary Computation'' is to be organized within the Genetic and Evolutionary Computation Conference (GECCO) from July 9 to July 13, 2002, New York City, USA. See further details at: http://www.cs.unr.edu/~sushil/workshop/ 1. WORKSHOP DESCRIPTION In real-world applications, it is often necessary to build approximate models for fitness evaluation. One essential difficulty in applying evolutionary algorithms to the optimization of complex systems is the high time complexity of each fitness evaluation. Besides, in some applications, no explicit mathematical functions are available for fitness evaluation. Further more, approximate fitness models have also been proved useful in dealing with noisy and multi-modal fitness functions. This workshop aims to get together researchers coming from different research areas to see the state-of-art, to discuss the main problems and future work in this area. 2. TOPICS OF INTERESTS Submissions are invited in, but not limited to, any of the following areas: * Off-line and on-line learning for approximate model construction * Off-line and on-line learning for performance improvement * Evolution control and model management in evolutionary computation * Multi-level evolutionary optimization * Learning in multi-objective evolutionary optimization * Fitness estimation in noisy environment * Comparison of different modeling methods, such as neural networks, response surface and least squares methods, and probabilistic models for evolutionary computation * Comparison of different sampling techniques for on-line and off-linelearning 3. SUBMISSION DETAILS Please follow the main conference guidelines with regards to the format of the paper. We expect submissions to be short papers or extended abstracts upto four (4) pages in length. Please send an electronic copy of the paper in PDF or postscript to yaochu_jin@de.hrdeu.com with subject ``GECCO workshop submission'' no later than March 4, 2002. Workshop proceedings will be published and will be available at the conference. IMPORTANT DATES: Paper submission deadline: March 4, 2002 Notification of acceptance: April 5, 2002 Final manuscript: April 25, 2002 ------------------------------ From: Peter Lucas Subject: [CFP] ECAI 2002 WS: IDAMAP 2002 Date: Mon, 10 Dec 2001 10:14:37 +0000 (GMT) Workshop held in conjunction with ECAI 2002, Lyon, France ** INTELLIGENT DATA ANALYSIS IN MEDICINE AND ** ** PHARMACOLOGY 2002 (IDAMAP 2002) ** (Web version of the CfP: http://idamap.org/idamap2002) SCHEDULE o Paper submission deadline - 22 March, 2002 o Notification to Authors - 12 April, 2002 o Camera-ready papers - 10 May, 2002 o Workshops at ECAI 2002 - 22 or 23 July 2002 SCOPE The IDAMAP workshop series is devoted to computational methods for data analysis in *medicine*, *biology* and *pharmacology* that somehow exploit expert knowledge of the problem domain. Such knowledge may be available at different stages of the data analysis and model-building process. Nowadays, machine-learning tools provide an effective means to derive understandable diagnostic and prognostic rules; Bayesian structure and parameter learning methods are capable of capturing the (in)dependence structure hidden in data and of learning and updating the model's parameters; clustering and instance-based learning methods, like case-based reasoning, may represent a crucial help to physicians in their decision making process; the interpretation of time-ordered data through the derivation and revision of temporal trends and other types of temporal data abstraction provides a powerful instrument for event detection and prognosis; data visualisation is increasingly becoming an essential element in the overall process of knowledge discovery in databases. In the workshop, special attention will be given to systems that aim at integrating the above mentioned techniques to promote the construction of effective decision models to support medical decision making, the discovery of meaningful patterns and structures in biomolecules and bioassays, the design of new drug compounds, discovery of drugs, etc. In addition, issues related to automated data collection in modern hospitals, such as analysis of computer-based patient records (CPR), data warehousing tools, outcomes analysis, intelligent alarming, effective and efficient monitoring, and so on are covered in the workshop. SCIENTIFIC PROGRAMME The scientific programme of the workshop will consist of presentations of accepted papers and panel discussions. Papers are invited both on methodological issues of intelligent data analysis as well as on specific applications in medicine and pharmacology. The preferred length of papers is 10 pages. Papers should in any case explicitly address the topics of the workshop, explaining: o what kind of knowledge they have used and/or extracted; o why they need to exploit the available prior knowledge in their problem; o how they have represented the available knowledge; o how they plan to use / have used the derived knowledge. SUBMISSION FORMAT OF PAPERS The workshop invites submission of long and short papers written in English to the workshop chair, Peter Lucas. Authors should send an electronic submission in either PDF or Postscript to idamap2002@csd.abdn.ac.uk not later than 22nd March, 2002. The length of long papers is about 6000 words (5 pages) and the length of short papers is about 3000 words (2-3 pages). Papers should be formatted in accordance with the style as proposed by ECAI. Instructions for authors are available at: http://ecai2002.univ-lyon1.fr/en/cfp/latex/latex2e This site also includes a LaTeX style file and an example LaTeX document. ------------------------------ From: Susan Craw Subject: ECCBR 2002 First Call for Papers Date: Mon, 10 Dec 2001 21:18:26 +0000 Call for Papers 6th European Conference on Case-Based Reasoning Aberdeen, Scotland, UK 4-7 September 2002 http://www.scms.rgu.ac.uk/eccbr2002/ ECCBR 2002 is the 6th European Conference on Case-Based Reasoning. This four-day conference will be held at The Robert Gordon University in Scotland's granite city, Aberdeen. The program will start with the ECCBR Industry Day and workshops, followed by the three day conference of invited talks, presentations and posters on both theoretical and applied research in CBR. Announcements concerning these events will be posted at the website. SUBMISSION TOPICS: The ECCBR'02 Program Committee invites submissions of original research and application papers on all aspects of Case-Based Reasoning. Example submission areas include, but are not limited to: * CBR system design issues (e.g.,indexing, retrieval, similarity assessment, and adaptation) * Case and knowledge representation, acquisition, modeling, visualisation, maintenance, and management for CBR * System architectures and integration of CBR with other methods * Collaborative CBR * Learning and knowledge acquisition for CBR knowledge containers * Analogical reasoning, and creative reasoning approaches based on CBR * CBR-related areas (e.g., corporate memories, decision support, information retrieval, knowledge discovery, data mining, software reuse and engineering redesign) * Lazy learning, instance-based learning, and case-based learning * Applications of CBR (e.g., customisation and personalisation, education, e-commerce, pattern recognition, image processing, knowledge management, manufacturing, medicine, web technologies, planning and scheduling) * Formal, empirical, and psychological evaluations of CBR models * Methodologies for developing CBR applications IMPORTANT DATES: Submission Deadline: 22nd March 2002 Notification of acceptance: 13th May 2002 Camera ready copy due: 3rd June 2002 SUBMISSION PROCEDURE: Authors must submit a full paper plus a title page by the end of 22nd March 2001. The title page must include: name(s) of the author(s); name, address, phone and fax number, and email of the contact person; title and abstract of the paper; a set of keywords; a statement whether the submission is to be reviewed as a "research" paper or an "application" paper. Full papers and title pages may be submitted in either of two ways: 1. Electronically, as a Postscript or PDF file submitted by FTP via the ECCBR'02 website (http://www.scms.rgu.ac.uk/eccbr2002/submit.html). This is the preferred mode of submission. 2. Electronically, as a Postscript or PDF file emailed to eccbr2002-submit@scms.rgu.ac.uk Note: Since Springer's LNCS/LNAI series is now published in parallel in both paper and electronic formats all papers submitted to ECCBR'02 must be submitted in electronic format. SUBMISSION FORMAT: Papers MUST be submitted in Springer LNCS format, which is the format required for the final camera ready copy, with a maximum of 15 pages. Authors' instructions along with LaTeX and Word macro files are available on the web at http://www.springer.de/comp/lncs/authors.html. CONFERENCE INFORMATION: All information regarding ECCBR'02 will be maintained at the conference website: http://www.scms.rgu.ac.uk/eccbr2002/. ------------------------------ From: stan Subject: CFP: ILP 2002 Date: Wed, 12 Dec 2001 14:12:03 +0100 Inductive Logic Programming 2002 Call for Papers ILP2002 is the twelfth in a series of international conferences on Inductive Logic Programming. We are pleased to announce that ILP2002 will be co-located and coordinated with the Nineteenth International Conference on Machine Learning (ICML2002), and with the Fifteenth Annual Conference on Computational Learning Theory (COLT 2002), bringing together the various communities of researchers who have a common interest in Machine Learning. ILP 2002, ICML 2002 and COLT 2002 will include an extensive joint series of invited speakers and tutorials. The mandate of the ILP 2002 Programme Committee is to extend the coverage of the field by including also aspects of relational learning other than learning of concept definitions expressed in Prolog (see a non-exclusive list of topics below). ILP2002 seeks submission for its two tracks: one for conference papers and one for work in progress reports. CONFERENCE PAPER TRACK We encourage papers that present substantial new results in theoretical, empirical and applied research in all areas of ILP. This includes, for example (a non-exhaustive list): - first-order rule learning - learning probabilistic and statistical relational models - link discovery - learning from relational databases - learning in representations other than logic (e.g. learning tree patterns, learning conceptual graphs) - (multi)relational data mining - ILP-specific issues in relational data mining outside model building (sampling, evaluation, etc.) - multi-instance learning - change of representation and propositionalization - relational reinforcement learning - instance-based and kernel-based methods in ILP - relational text and Web mining; learning from semi-structured data (e.g. XML) - learnability and algorithmic issues of learning from structured data - inductive databases - learning in higher-order logics - logical foundations of induction - efficient implementations - practical applications of ILP and Relational Data Mining WORK IN PROGRESS TRACK Work-in-progress reports should be high in interest and potential, but will typically contain only preliminary results and analyses. The work-in-progress track is intended to showcase promising new directions and allow feedback on preliminary work. Challenge and position papers are also suitable. We especially encourage students to submit their preliminary work. Reports accepted for this track will be presented at the conference (probably via a poster presentation) and will appear in a booklet distributed to participants at the conference. SUBMISSION Papers submitted to either track should be no longer than 18 pages. Significantly shorter papers are very welcome. There will be a further announcement on the ILP 2002 website about the mode of submission. Submissions must be in Springer LNCS/LNAI style, or equivalent (45 lines per page, 78 characters per line). For details see http://www.springer.de/comp/lncs/authors.html It is the author's responsibility to ensure that the PostScript file is printable. The submission deadlines are listed below. All submissions will be acknowledged shortly after receipt. TIMETABLE Conference Papers Work-in-Progress Reports Submission deadline: February 15, 2002 May 1, 2002 Notification: March 15, 2002 May 15, 2002 Camera-ready copy: April 5, 2002 May 30, 2002 Conference dates: July 9 - 12, 2002 FURTHER INFORMATION All enquiries should be sent to: ilp2002@lri.fr ILP200 home page www.site.uottawa.ca/~stan/ilp2002 ------------------------------ From: Pirjo Moen Subject: Call for Papers: ECML/PKDD 2002 Date: Thu, 13 Dec 2001 11:56:36 +0200 (EET) ECML/PKDD 2002 Call for Papers 13th European Conference on Machine Learning (ECML'02) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02) August 19-23, 2002, Helsinki, Finland http://ecmlpkdd.cs.helsinki.fi The 13th European Conference on Machine Learning (ECML) and the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) will be co-located in Helsinki, Finland, in August 2002. Co-ordination of the two conferences provides ample opportunities for cross-fertilization between the two areas, and follows the success of jointly organized ECML/PKDD in 2001. ECML CALL FOR PAPERS The European Conference on Machine Learning series is intended to provide an international forum for the discussion of the latest high quality research results in machine learning and is the major European scientific event in the field. Submissions are invited that describe empirical and theoretical research in all areas of machine learning. Submissions of papers that describe the application of machine learning methods to real-world problems are encouraged. PKDD Call for Papers Data Mining and Knowledge Discovery in Databases (KDD) is a combination of many research areas: databases, statistics, machine learning, automated scientific discovery, inductive logic programming, artificial intelligence, visualization, decision science, and high performance computing. While each of these areas can contribute in specific ways, KDD focuses on the value that is added by creative combination of the contributing areas. The goal of PKDD is to provide a forum for interaction among all theoreticians and practitioners interested in data mining. PAPER SUBMISSION There is a single electronic submission procedure: authors indicate whether they submit their paper to ECML, PKDD, or both. In the latter case, the topic of the joint submission must be within the scope of both conferences; accepted joint submissions are assigned to the more appropriate of the conferences. All submissions will be reviewed by the respective program committees. The proceedings of both conferences will be published by Springer-Verlag in the Lecture Notes in Artificial Intelligence series and will be available in the conference. IMPORTANT DATES Submission deadline: Wednesday, 27 March, 2002 Notification of acceptance: Monday, 6 May, 2002 Camera-ready copies due: Monday, 27 May, 2002 For details of the submission procedure, see the conference website at http://ecmlpkdd.cs.helsinki.fi ------------------------------ From: "Alexey Ivakhnenko" Subject: I International Conference on INDUCTIVE MODELLING: cfp Date: Thu, 13 Dec 2001 20:16:58 +0200 CONFERENCE ANNOUNCEMENT and CALL FOR PAPERS I International Conference on INDUCTIVE MODELLING ICIM'2002 May 20-25, 2002 Lviv, Ukraine http://www.niss.gov.ua/Center/ICIM/ Submission deadline: February 20, 2002 The I International Conference on Inductive Modelling (ICIM-2002) will present the latest high-quality results in the growing field of inductive methods in data mining and forecasting, pattern recognition and parallel computing. Inductive modelling is an important area, based on sorting methods of artificial intelligence problems solution. The aim of the Conference is to bring together leading scientists, researchers and experts from different areas, who can make significant contribution to development and better understanding of inductive modelling methods. Conference topics include, but are not limited to: - Principles and theoretical foundations of inductive modelling. - Data mining, laws extracting and knowledge discovery. - Parallel computing - Time series analysis and forecasting. - Information and hybrid systems. - Neural networks and genetic algorithms. - Pattern recognition and clustering. - Parametric methods of modelling, machine learning, and evolutionary computation. - Non-parametric methods: search of analogues, fuzzy logic and probabilistic modelling - Selection and construction of criteria for model structure optimization. - Comparison of different approaches for artificial intelligence problems solution. - Estimation of inductive methods efficiency in modelling and prediction. - Application of inductive approach to solution of AI problems. Methods of inductive modelling allow to find automatically models of optimal complexity for real data and therefore can improve the accuracy of AI problems solution. Inductive modelling has objective character and therefore can help to avoid invalid decisions of experts. Inductive approach also considerably enriches existing methods of data mining and knowledge discovery by new possibilities to increase accuracy and lead-time of predictions. Methods of parallel computing are adequate for self-organizing algorithms, allowing to increase considerably the dimensionality of processed data. Among the highlights of the Conference there will be issues of theory development, algorithms and applications of the Group Method of Data Handling (GMDH) as first realization of inductive idea in modelling. Conference participants will have the opportunity to discuss fundamentals and state of art in inductive modelling, plans for software and hardware development, organization of cooperation, and discuss ways for enhancing of effectiveness of complex systems modelling. IMPORTANT DATES Submission deadline 20.02.2002 Acceptance notification 15.03.2002 Sending of invitations 10.04.2002 Conference 20.05.2002 HOW TO SUBMIT A PAPER TO THE ICIM CONFERENCE The deadline for arrival at the physical address below of the two camera-ready hard copies of paper is February 20, 2002. Please send paper by post to address : "ICIM-2002", P.O. Box 5446, Lviv-31, Ukraine, 79031. and it electronic version in MS Word format by email: dndiii@dndiii.lviv.ua It is preferred (but not required) that the format of submitted papers roughly follow the required format for final camera-ready papers, which will be posted on http://www.niss.gov.ua/Center/ICIM/index.htm For the latest information, please visit the web site, http://www.niss.gov.ua/Center/ICIM/ ------------------------------ From: ITS Subject: CALL for WORKSHOPS - ITS 2002 Date: Tue, 18 Dec 2001 18:36:03 -0500 CALL for WORKSHOPS International conference on Intelligent Tutoring Systems ITS 2002 People willing to propose the organization of a Workshop at ITS 2002 are invited to submit a proposal before January 5, 2002. Please consult the details of this CALL at http://www.itsconference.com/call_workshop.html ------------------------------ From: Carmelo del Valle Sevillano Subject: IBERAMIA'2002 - PRELIMINARY CALL FOR PAPERS Date: Fri, 21 Dec 2001 13:39:12 +0100 PRELIMINARY CALL FOR PAPERS IBERAMIA'2002 EIGHTH IBEROAMERICAN CONFERENCE ON ARTIFICIAL INTELLIGENCE Sevilla, Spain, November 12-15, 2002 http://www.lsi.us.es/iberamia2002 The 8th Ibero-American Conference on Artificial Intelligent (IBERAMIA) will take place at Seville (Spain) in november 12-15, 2002. IBERAMIA is the international forum where the ibero-american AI community meet together for presenting and discussing the research and development carried out in South and Central America countries, Spain, and Portugal. Iberamia is supported by the Iberoamerican societies of AI SBC - Sociedade Brasileira de Computacao, Brazil AEPIA - Asociacion Española para Inteligencia Artificial APPIA - Associacao Portuguesa para Inteligencia Artificial AVINTA - Associacion Venezolana de Inteligencia Artificial SMCC - Sociedad de Matematica y Computacion de Cuba SMIA - Sociedad Mexicana de Inteligencia Artificial The first Iberamia conference was held in 1988 at Barcelona. Since then Iberamia has been the forum to debate research and development on AI in spanish and portuguese specking countries. Following Barcelona Iberamia conferences were held every two years Morelia 1990 (Mexico), La Habana 1992 (Cuba), Caracas 1994 (Venezuela), Cholula 1996 (Mexico), Lisboa 1998 (Portugal) and Sao Paolo 2000 ( Brazil) In these fourteen years, the goals of IBERAMIA have been to strengthen the relationship among the research groups of the Ibero-American community, to create the appropriate conditions for researchers to disseminate their research work and to facilitate the contact between new researchers and consolidated groups. The conference will be structured along two main modules: . open discussion track . paper track The open discussion track is composed of working sessions devoted to the most important areas of research in Ibero-American countries. Papers submitted to this open discussion track may be written in Portuguese, Spanish or English; they will be reviewed and published in a local edition. The paper track is composed of invited talks and paper presentations from all over the world, covering all topics listed above. Proceedings of this paper track will be published in Springer Verlag's LNCS/LNAI series. IBERAMIA 2002 topics include, but are not limited to: · Knowledge Engineering and Case Based Reasoning. · Planning and Scheduling. · Distributed AI and Multi-Agent Systems. · AI in Education and Intelligent Tutoring Systems. · Knowledge Representation and Reasoning. · Machine Learning and Knowledge Acquisition. · Knowledge Discovery and Data Mining. · Natural Language Processing. · Robotics. · Computer Vision. · Uncertainty and Fuzzy Systems. · Genetic Algorithms and Neural Networks. · Foundations (economics, philosophy, etc.). ------------------------------ From: Frank Hoeppner Subject: [ECAI'02-Workshop] Knowledge Discovery from Temporal and Spatial Data Date: Fri, 21 Dec 2001 14:38:57 +0100 KNOWLEDGE DISCOVERY FROM TEMPORAL AND SPATIAL DATA Call for ECAI 2002 Workshop Participation http://tasda.elibel.tm.fr TECHNICAL ASPECTS This workshop aims at bringing together experts in data-mining, knowledge discovery, machine learning or database as well as practitioners, in order to share methods and techniques and discuss their utility for knowledge discovery, especially when formulated in high-level representation paradigms (based on temporal/spatial logic or constraints, for instance). The following aspects, among others, are of particular interest: - Accommodating and representing data and rules for temporal/spatial data mining - Generalizing or meta-learning from association rules - Dealing with multiple time or space granularities - Discovering rules involving temporal intervals or spatial regions - Improving learning efficiency and scalability - Using background knowledge - Uncertainty management in temporal and spatial data mining - Similarities and differences of mining temporal and spatial data Practical applications from (but not limited to) the following areas are also welcome: - Electronic commerce - Surveillance and supervision of dynamic systems - Geographical information systems - Medicine - Forecast HOW TO PARTICIPATE ? There are three complementary ways to participate in this workshop: - by submitting a technical paper (indicate if the paper has been published before) - by submitting a technical description of a real world problem - by submitting 1-2 pages why she or he wants to attend (including specification of area of interest) All the submissions will be reviewed by the workshop organising committee in order to select relevant participants which share technics or practice on the areas of this workshop. Participants will be requested to perform an anonymous peer review of 1-2 other submissions (free choice). This enables the organizers to identify hot topics (areas many people were interested in), but also prepares the participants to go in deeper discussions during the workshop. It is highly recommended to submit papers using the final camera-ready formatting style (the main conference guidelines are applicable: A4 paper, no footer, no numbering). Submissions should be 6-12 pages in camera-ready format. Submissions of unformatted papers should be 6000-12000 words including footnotes, figure captions, tables, appendices, and bibliography. Each half-page of figures will be counted as 500 words. Papers should be submitted via e-mail in PDF format (preferred) or postscript or, Microsoft Word (the worse solution) to: christophe.dousson@rd.francetelecom.com IMPORTANT DATES 25th March 2002 Deadline for papers 1st April 2002 Beginning of the peer-review 25th April 2002 End of the peer-review 30th April 2002 Notification of acceptance 31th May 2002 Camera-Ready copy (full paper) MORE INFORMATION at http://tasda.elibel.tm.fr ------------------------------ From: Paolo Frasconi Subject: CFP: Machine learning in bioinformatics @ KES02 Date: Thu, 27 Dec 2001 18:17:04 +0100 KES'2002 Sixth International Conference on Knowledge-Based Intelligent Information & Engineering Systems 16, 17 & 18 September 2002 Podere d'Ombriano, Crema, Italy Special Session: Machine Learning in Bioinformatics http://www.dsi.unifi.it/~paolo/kes02.html CALL FOR PAPERS This special session aims at presenting and discussing state-of-the-art algorithms and methodologies in computational molecular biology where machine learning plays a key role. Topics of interest include (but are not limited to) applications of machine learning to: o Protein folding and protein structure prediction o Gene expression data and DNA micro-arrays o Protein-protein interaction o Finding signals and motifs in DNA sequences o Inference of genetic networks o Analysis of gene structure and regulation o Phylogenetic analysis o QSAR and QSPR SUBMISSIONS Papers should be submitted in electronic format (preferably in PDF, but PostScript, or MS-Word are also acceptable formats) to kes02@dsi.unifi.it, using the subject-line "KES02 Special Session submission". Papers must be formatted as detailed in IOS Instructions for the Preparation of a Camera-Ready Manuscript (see http://www.bton.ac.uk/kes/kes2002/instruct.doc). LaTeX and Word templates are available at http://www.iospress.nl/site/navfr/authcofr.html. The maximum length of papers is five pages (when prepared according to the IOS instructions). Longer papers will be subject to an additional page charge. Please note that final versions of accepted papers must be submitted in hard copy. All papers must be presented by one of the authors, who must pay the registration fee. For more information about the general conference please see http://www.bton.ac.uk/kes/kes2002/. The session papers will be published in the Conference Proceedings (IOS Press, Amsterdam, the Netherlands). Extended versions of selected papers will be considered for publication in the KES Journal (International Journal of Knowledge-Based Intelligent Engineering Systems). IMPORTANT DATES Submission deadline : March 15, 2002 Notification of acceptance: April 15, 2002 Deadline for camera-ready papers: May 15, 2002 Registration deadline: June 1, 2002 ------------------------------ Job Announcements ------------------------------ From: Dix Subject: PhD Studentship available at The Univ of Manchester, Comp. Science Dept. Date: Sat, 15 Dec 2001 16:30:24 +0000 Applications are sought for a three year Ph.D. position to study various aspects of optimizing Multi-Agent Systems. Potential candidates should check out the web-page http://www.cs.man.ac.uk/~jdix/phd_mas.html which contains all neccessary information. ------------------------------ From: Susan Craw Subject: Research Post in Smart Web Technologies Centre Date: Sun, 16 Dec 2001 09:19:46 +0000 THE ROBERT GORDON UNIVERSITY, ABERDEEN SMART WEB TECHNOLOGIES CENTRE RESEARCH ASSISTANT/FELLOW (3-YEARS FIXED TERM) (REF T188) The Smart Web Technologies Centre is a new research facility at the University. The Centre will undertake research and development on smart web-based products and services for targeted sectors, including healthcare, e-commerce, teaching and learning, and e-government. You will undertake applied research on intelligent, web-based products and services, and will develop industrial-strength prototypes that integrate and demonstrate the research of the Centre. You should possess a good Honours degree, and preferably an advanced Masters or PhD, in computing or cognate discipline. Experience in a research & development environment is highly desirable together with a good working knowledge of intelligent systems or web-based systems, and excellent software engineering skills. Pro-activity, initiative and self-motivation are required for this challenging position. Informal enquiries to Prof David Harper on +44 (0) 262706 or e-mail djh@scms.rgu.ac.uk and further details on the centre can be found at http://www.scms.rgu.ac.uk/smartweb and a copy of this advert is available at http://www.scms.rgu.ac.uk/vacancies An online application form can be found at http://www.rgujobs.ac.uk Salary: £17,451 - £19,486 (Research Assistant) £17,451 - £26,229 (Research Fellow) Email staffrec@rgu.ac.uk for application Forms/Further Details, or contact: The Human Resources Department The Robert Gordon University Schoolhill ABERDEEN AB10 1FR Tel +44 (0) 1224 262085 Closing Date: 4 January 2002 ------------------------------ End of ML-LIST Digest Vol 13, No. 9 ***********************************