Machine Learning List: Vol. 14, No. 9 Friday, Nov 22, 2002 Contents Calls for Papers and Meeting Announcements Workshop cognitive modeling of agents & multi-agent interactions Call for Papers: IDA 2003 CFP: Graphical Models for Computational Genomics (IJCAI 2003) Call For Papers: Special Issue of IDA UAI 2003 Call for Papers CFP: Doing it with Style EvoIASP2003: FINAL CALL FOR PAPERS (deadline EXTENDED!) IDEAL2003 Call-for-paper (Submission Deadline: December 31) ICCS-03 Cognitive Science Colloquium (San Sebastian,Spain) Career Opportunities Two PhD Positions Stipends for MSc Intelligent Systems Other Items of Interest EEGLAB toolbox released NIPS*2002 Preproceedings now online 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. ---------------------------------------------------------------------- From: rsun@cecs.missouri.edu Subject: Workshop cognitive modeling of agents & multi-agent interactions Date: Fri, 8 Nov 2002 09:47:39 -0600 Workshop on Cognitive Modeling of Agents and Multi-Agent Interactions During IJCAI'2003 9-11 August, 2003. Acapulco, Mexico Computational models of cognitive agents that incorporate a wide range of cognitive functionalities (such as a variety of memory/representation, various types of learning, and sensory motor capabilities) have been developed in both AI and cognitive science. In AI, they appear under the rubric of intelligent agents and multi-agent systems. In cognitive science, they are often known as cognitive architectures. These strands of research provide useful paradigms for addressing some fundamental questions in AI and Cognitive Science. Artificial intelligence started out with the goal of designing functioning intelligent agents. However, faced with the enormous difficulty of the task, the focus has largely been on modeling specific aspects of intelligence, often in highly restricted domains. Nevertheless, some researchers have focused on putting the pieces together with the goal of designing autonomous agents. More important, there is a growing interest in multi-agent interactions that addresses issues of coordination and cooperation among cognitive agents. On the other side, traditionally, the main focus of research in cognitive science has been on specific components of cognition (e.g., perception, memory, learning, language). Recent developments in computational modeling of cognitive architectures provide new avenues for precisely specifying complex cognitive processes in tangible ways, thereby addressing foundational questions in cognitive science. Such developments need to be extended to multi-agent interactions and there are promising developments in this regard (see e.g. recent papers in this area in the journal Cognitive Systems Research). Against this background, this workshop seeks to bring together cognitive scientists and AI researchers, with a wide range of background and expertise, to discuss research problems in understanding cognition at the individual level as well as at the collective level. SUBMISSION If you are interested in giving a presentation at the workshop, please submit a full paper, 6-10 pages, in the IJCAI paper format. If you are only interested in attending, submit a brief abstract (one page or less) describing your interest. Use the IJCAI paper format (and templates) for your papers. See the IJCAI Web site: http://www.ijcai-03.org for details. Electronic submission is required. Only the Postscript or PDF format is accepted. Send your paper (in PS or PDF) as an email attachment. In the body of your email, include (in plain ASCII): names of all authors, their affiliations, their physical addresses, and their email addresses. In addition, the same information should also be included in your paper itself. All submissions should be sent to: rsun@cecs.missouri.edu IMPORTANT DATES AND DEADLINES Deadline for full papers or abstracts: March 1, 2003. Notification of acceptance/rejection: March 30, 2003. Deadline for the receipt of camera-ready papers: May 1, 2003 ------------------------------ From: "Andreas Nuernberger" Subject: Call for Papers: IDA 2003 Date: Mon, 11 Nov 2002 13:31:08 -0800 - Call for Papers - 5th International Symposium on Intelligent Data Analysis - IDA 2003 Berlin, Germany August 28-30, 2003 (http://ida2003.org) IDA 2003 will take place in Berlin August 28-30, 2003, and is organized by the Free University of Berlin and the Otto-von-Guericke University of Magdeburg. It will consist of a stimulating program of invited talks by leading international experts in intelligent data analysis, tutorials, contributed papers, poster sessions, and an exciting social program. Our aim for the biannual IDA symposia is to bring together a wide variety of researchers - academic, industrial, and otherwise - who are concerned with extracting knowledge from data, including people from statistics, machine learning, neural networks, computer science, pattern recognition, database management, and other areas. IDA 2003 is intended to stimulate interaction between these different areas, so that more powerful tools emerge for extracting knowledge from data and a better understanding is developed of the process of intelligent data analysis. IMPORTANT DATES March 31, 2003 Deadline for submitting papers May 12, 2003 Notification of acceptance June 6, 2003 Deadline for submission of final papers ADDITIONAL INFORMATION A list of topics of interest, guidelines for submissions, and infor- mation about the conference-site is available at http://ida2003.org. ------------------------------ From: "Mark Strauerman" Subject: CFP: Graphical Models for Computational Genomics (IJCAI 2003) Date: Thu, 14 Nov 2002 08:55:24 +0100 First CFP: IJCAI-2003 Workshop -- Learning Graphical Models for Computational Genomics Saturday, 9 August 2003 Acapulco, Mexico http://www.kddresearch.org/KDD/Workshops/IJCAI-2003-Bioinformatics/ Recent advances in experimental tools for computational genomics have led to sharp growth in data resources for bioinformatics problems such as modeling of gene expression and gene-protein interaction. This provides an interesting application domain for intelligent systems that learn graphical models from data for causal modeling, time series simulation and prediction, and classification and regression problems in computational life sciences. In response, we propose a workshop to bring together researchers in intelligent systems who are interested in: * probabilistic reasoning and learning with the primary focus of: learning the structure of graphical models from data, new graphical models such as types of dynamic Bayesian networks, stochastic and other approximation algorithms for inference, structure learning; * constraint-based knowledge representation; * parameter estimation on graphical models and dynamical systems. FORMAT The one day workshop will include one or more invited talks and specialized tutorials on state-of-the-art research problems and methodologies, presentations by selected participants, and a panel and open discussion on key topics. PAPER SUBMISSIONS Participants are encouraged to submit papers (up to 8 pages in length) on recent and continuing research, formatted according to IJCAI guidelines. Experimental results are also encouraged, especially on fielded applications, even if they are only preliminary. Papers should be submitted electronically in Postscipt, PDF, MS Word format via e-mail. To encourage participation but focus discussions on key topics, we also invite 2-page research synopses and position papers from attendants who do not submit full papers. Each submission shall be accompanied by a short statement, up to 500 words or one page in length from each participants. This should describe your interest in and perspectives on this workshop topic. DUAL SUBMISSION POLICY: Submission of short (2-page OR 6-8 page) synopses of articles currently in preparation, under review, or accepted for publication as journals or book chapters is permitted. Submission of full-length papers currently under review for other conferences and workshops is also permitted. However, these papers shall be published in the working notes for this workshop if and only if they are compliant with the dual-submission guidelines of the other conference or workshop. Please consult the workshop web page for formatting instructions. All submissions should be sent to: ijcai2003-bioinformatics(AT)kddresearch.org. (Please replace "(AT)" with the appropriate symbol.) IMPORTANT DATES Mar 01, 2003 Submission deadline Mar 21, 2003 Acceptance notification May 16, 2003 Camera-ready version of papers ------------------------------ From: Gama Subject: Call For Papers: Special Issue of IDA Date: Fri, 15 Nov 2002 14:31:50 +0000 CALL FOR PAPERS Intelligent Data Analysis - IOS Press SPECIAL ISSUE on INCREMENTAL LEARNING SYSTEMS CAPABLE OF DEALING WITH CONCEPT DRIFT Special issue Editors: Miroslav Kubat, University of Miami, USA Joćo Gama, University of Porto, Portugal Paul Utgoff, University of Massachusetts, USA Suppose the existence of a concept description that has been induced from a set, T, of training examples. Suppose that later another set, T', of examples become available. What is the most effective way to modify the concept so as to reflect the examples from T'? In many real-world learning problems the data flows continuously and learning algorithms should be able to respond to this circumstance. The first requirement of such algorithms is thus incrementality, the ability to incorporate new information. If the process is not strictly stationary, the target concept could gradually change over time, a fact that should be reflected also by the current version of the induced concept description. The ability to react to concept drift can thus be viewed as a natural extension of incremental learning systems. These techniques can be useful for scaling-up learning algorithms to very large datasets. Other types of problems were these techniques could be potentially useful include: user-modelling, control in dynamic environments, web-mining, times series, etc. Most of evaluation methods for machine learning (e.g. cross-validation) assume that examples are independent and identically distributed. This assumption is clear unrealistic in the presence of concept drift. How can we estimate the performance of learning systems under these constrains? The objective of the special issue is to present the current status of algorithms, applications, and evaluation methods for these problems. Relevant techniques include the following (but are not limited to): 1. Incremental, online, real-time, and any-time learning algorithms 2. Algorithms that learn in the presence of concept drift 3. Evaluation Methods for dynamic instance distributions 4. Real world applications that involve online learning 5. Theory on learning under concept drift. SUBMISSION DETAILS: We are expecting full papers to describe original, previously unpublished research, be written in English, and not be simultaneously submitted for publication elsewhere (previous publication of partial results at workshops with informal proceedings is allowed). We could also consider the publication of high-quality surveys on these topics. Please submit a PostScript or PDF file of your paper to: jgama@liacc.up.pt IMPORTANT DATES: Submission Deadline: 1 of February 2003 Author Notification: 1 of July 2003 Final Paper Deadline: 1 of September 2003 ------------------------------ From: uai03@hugin.com Subject: UAI 2003 Call for Papers Date: 17 Nov 2002 12:09:47 -0000 19th Conference on Uncertainty in Artificial Intelligence UAI-2003 First Call for Papers August 7-10, 2003 http://research.microsoft.com/uai2003 Since 1985, the Conference on Uncertainty in Artificial Intelligence (UAI) has been the primary international forum for presenting new results on the use of principled methods for reasoning under uncertainty within intelligent systems. The scope of UAI is wide, including, but not limited to, representation, automated reasoning, learning, decision making and knowledge acquisition under uncertainty. We encourage submissions that report on advances in these core areas as well as submissions describing interesting and novel systems that utilize techniques from these core areas. The 19th Conference on Uncertainty in Artificial Intelligence will be held August 7-10, 2003 at the Hyatt Hotel, Acapulco, Mexico. The main technical session will be on August 8-10, and will be preceded with a tutorial program on August 7. The UAI-2003 is collocated with and immediately precedes the International Joint Conference on Artificial Intelligence (IJCAI) which will be held August 9-15. KEY DATES: Thursday March 13, 2003, 23:59 PST: Abstract submission. Thursday March 20, 2003, 23:59 PST: Full paper submission. Thursday March 20, 2003, 23:59 PST: Student paper certification. Wednesday April 30, 2003: Author notification of accepted papers. Thursday May 29, 2003: Camera ready copy of accepted papers. These deadlines will be strictly enforced. ------------------------------ From: "Shlomo Argamon" Subject: CFP: Doing it with Style Date: Mon, 18 Nov 2002 01:24:04 -0600 Call For Papers IJCAI 2003 Workshop DOING IT WITH STYLE: Computational Approaches to Style Analysis and Synthesis August 10/11, Acapulco, Mexico http://ir.iit.edu/~argamon/style2003/ WORKSHOP OVERVIEW Style is an intuitive concept which may be roughly defined as the 'manner' in which something is done, as opposed to the 'content' of what actually is being accomplished. In recent years a growing number of researchers working in a variety of different areas have focused on explicitly addressing recognition and generation of style in their various disciplines, work that contrast with more traditional emphasis on 'performance' or 'content' or 'meaning'. Indeed, in some media such as music, visual art and to a lesser extent, film and even expressive speech, 'meaning' itself comprises mainly factors such as excitation and calmness or other emotional expressions that can be considered aspects of style instead of what is usually thought of as content. Recent achievements in style research include systems for authorship attribution, organizing and retrieving documents based on their writing style, composing new music in a given composer's style, rendering animation in different motion styles, and more. Work in all media shares the problem of formalizing a notion of style, and developing a modeling language that supports the representation of differing styles. The precise methodology used may depend upon the use of stylistic variation in a domain. Often, style is used to place a work into a genre, i.e. a context of other works. In other cases, style can be used to connect affect to content, as in the generation of animation sequences. Such different uses of style in some medium can be analyzed and such analysis used to categorize or identify particular works as well as to enable automatic generation of works with particular styles. The purpose of this workshop is to bring together researchers working on a variety of style-related problems in order to explore the points common to different approaches to our differing problems, and to work towards finding common principles underlying computational issues of style analysis and synthesis. The primary question that we would like to address is: "What is style and how may it be usefully characterized?" We seek submissions that address all aspects of style analysis and synthesis from a computational perspective, in all media. SUBMISSIONS For paper presentations, submissions of 10-12 pages in length should be submitted by emailing a URL pointing to a Postscript, PDF, or HTML format version of the paper to the workshop chair at argamon@iit.edu. Accepted papers will be considered for inclusion in a special issue of the JASIST journal. Those wishing to present an exhibit should email a short (about 1 page) description of the proposed exhibit to the workshop chair. Those wishing to attend without making a presentation should email a short (less than one page) statement of interests. IMPORTANT DATES Submission deadline: February 15, 2003 Accept/reject notices sent: March 21, 2003 Receipt of camera-ready copy: May 23, 2003 Workshop August 10 or 11, 2003 (TBA) More information is available at http://ir.iit.edu/~argamon/style2003/. ------------------------------ From: Stefano Cagnoni Subject: EvoIASP2003: FINAL CALL FOR PAPERS (deadline EXTENDED!) Date: Sun, 17 Nov 2002 16:03:30 +0100 EVOIASP 2003 ***** SUBMISSION DEADLINE EXTENSION: NOVEMBER 30 **** A submission deadline extension until November 30 will be provided to those who EXPLICITLY request it, by sending an email to Stefano Cagnoni (cagnoni@ce.unipr.it) BEFORE November 25 EVOIASP2003 Fifth European Workshop on Evolutionary Computation in Image Analysis and Signal Processing Essex, United Kingdom, April 14, 2003 For full details about submissions and updated news about the workshop please visit the workshop web pages: http://evonet.dcs.napier.ac.uk/eurogp2003/evoiasp.html http://evonet.dcs.napier.ac.uk/eurogp2003/ ------------------------------ From: "IDEAL'03" Subject: IDEAL2003 Call-for-paper (Submission Deadline: December 31) Date: Wed, 20 Nov 2002 16:20:16 +0800 Call For Papers (The submission due date: December 31, 2002 !!) Fourth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'03) March 21-23, 2003, Hong Kong Hong Kong Convention and Exhibition Centre The IDEAL'03 conference will be co-jointly held with International Conference on Computational Intelligence for Financial Engineering (CIFEr2003) and sponsored by Hong Kong Baptist University. As a biennial conference, IDEAL was firstly launched from Hong Kong in 1998, which is dedicated to emerging and challenging topics in intelligent data analysis and engineering and their associated learning paradigms. Following from the past highly successful IDEAL'98, IDEAL'00 and IDEAL'02, IDEAL will become an annual conference starting from Year 2003. The fourth conference will aim to provide a forum for researchers and engineers from academia and industry to meet and to exchange ideas on the latest developments in data engineering and learning, and to share their successes. IDEAL is an ideal forum for revealing and developing the latest theoretical advances and practical applications in intelligent data engineering and automated learning. IMPORTANT DATES: Submission Due Date: December 31, 2002 Notification of Acceptance: January 31, 2003 Please visit the conference web site at http://www.comp.hkbu.edu.hk/IDEAL2003 for instructions on the manuscript format and submission details. ------------------------------ From: ICCS_01 Subject: ICCS-03 Cognitive Science Colloquium (San Sebastian,Spain) Date: Fri, 22 Nov 2002 13:41:17 +0100 (MET) Eighth International Colloquium on Cognitive Science Donostia - San Sebastian, May 7-10, 2003 ILCLI. Villa Asuncion. Apdo. 220. 20080 Donostia - San Sebastian. Spain. Tf.: +34-943-017451. Fax: +34-943-29 36 77. E-mail:ICCS-03@sf.ehu.es http://www.sc.ehu.es/ilwlaanj/iccs-03.html FIRST ANNOUNCEMENT ICCS-03 is organized by the Institute for Logic, Cognition, Language and Information (ILCLI) and the Dept. of Logic and Philosophy of Science of the University of the Basque Country. It will take place in the Faculty of Philosophy of the Univ. of the Basque Country at Donostia - San Sebastian. MAIN TOPICS: (1) Learning, Reasoning, and Decision-Making. (2) Argumentation and Cognition. (3) Rationality, Determinism and Freedom. (4) Art, Emotion, and Meaning. CONTRIBUTED PAPERS: Contributed papers (25-30 minutes) are invited from all areas of Cognitive Science. Authors wishing to submit a paper should send four (4) hardcopies of an extended abstract of 5-6 pages written in English to Dr. J. M. LARRAZABAL (address above) by January 31, 2003. Submissions by e-mail are encouraged (only in Microsoft Word Format). A cover page should be added to the abstract including title, all authors names and affiliations, corresponding author=D5s address, fax number and e-mail address. To facilitate blind review by two or more referees all indications of authorship should appear on this detachable cover page only. Papers will be evaluated by the Program Committee on the basis of originality, clarity, correctness and significance of results. Authors of accepted papers are expected to present them at the Colloquium. Notification of acceptance/rejection: April 1, 2003. IBERDROLA BEST PAPER AWARD A prize will be awarded by Iberdrola to the author(s) of the best contributed paper as judged by a committee drawn from the Program Committee. Submissions of complete papers (25 pages maximum, 4 hardcopies) of previously accepted abstracts, with indication of salient keywords, should be sent to the Organizing Committee by April 15, 2003. ------------------------------ From: "Tim Pearce" Subject: Two PhD Positions Date: Fri, 15 Nov 2002 11:16:14 -0000 PhD Studentship in Biologically Inspired Robotics A postgraduate researcher is required for an EC-funded project available immediately. The project concerns the development of neuronal models to control an unmanned aerial vehicle (UAV) robot to perform stereotypical moth-like chemotaxis (chemical search) behaviour. The project will develop biologically-inspired sensor, information processing and control systems for a c(hemosensing) UAV. The cUAV will identify and track volatile compounds of different chemical composition in outdooor environments. Its olfactory and sensory-motor systems are to be inspired by the moth, which will be supported by computational neuroscience model development. This development continues our research in artificial and biological olfaction, sensory processing and analysis, neuronal models of learning, real-time behavioural control, and robotics. Further details on the project and the research teams can be found at http://www.le.ac.uk/eg/tcp1/amoth/ The project includes significant funding and opportunities for travel within Europe to visit the laboratories of the participating consortia (in Switzerland, France, and Sweden) and outside Europe to attend international scientific meetings. Applicants should have a strong analytical background, a keen interest in neuroscience, and a good honours degree (at the 2(i) level or higher) in engineering, mathematics or physics. The student will be responsible for development of the experimental set-up for assessing chemical search strategies applied to robots within unsteady laminar/turbulent flow - which will involve programming, simulation, numerical and electronics development. Applicants should have a demonstrated interest in one or more of the following, neuroscience, robotics, and/or artificial intelligence. Some experience of fluid dynamics would be an advantage. Good team skills are essential. The studentship includes a stipend for 3 years and includes full provision for academic fees. Both EU and non-EU nationals may apply. PhD Studentship in Neuroengineering/Computational Neuroscience A postgraduate research position is available on an EC-funded project immediately. The position is to support the EU Network of Excellence in Neuroinformatics - nEUro-IT (details of the network are under construction at http://www.neuro-it.net). The project includes funding and opportunities for travel within Europe to visit educational establishments conducting research related to the interests of the network. Applicants should have a strong analytical background, an interest in neuroscience, and a good honours degree (at the 2(i) level or higher) in engineering, mathematics or physics. As part of their commitment to the Network of Excellence the student will be responsible for development of a database of educational material related to neuroinformatics and neuroengineering within Europe . In addition the student is expected to carry out research in any topic of their choice related to the research of the laboratory (see http://www.le.ac.uk/eg/tcp1/neurolab/ for details) that will be expected to lead to the award of a PhD. Good team skills are essential.=20 The studentship includes a stipend of =A312,000 per year for 3 years and includes full provision for academic fees. Only EU nationals may apply. Further details on the research activities carried in this laboratory can be found at http://www.le.ac.uk/eg/tcp1/neurolab/ The Engineering Department was rated 5A in the Research Assessment Exercise, 2001. Initial enquiries and requests for details of the application process should be addressed to the EU Project Assistant, Mr. John Harrison, Department of Engineering, University of Leicester, Leicester LE1 7RH, United Kingdom, +44 116 252 5384, jlh36@le.ac.uk=20 Both positions are available immediately - please indicate which position you are interested in when applying . Deadline for applications is 8th December, 2002 with an expected start date early in 2003. ------------------------------ From: Stefan Wermter Subject: Stipends for MSc Intelligent Systems Date: Tue, 19 Nov 2002 17:42:20 +0000 Stipends Available for MSc Intelligent Systems We are pleased to announce that for eligible students we have obtained funding to offer a bursary for our new MSc Intelligent Systems worth up to 6000 pounds or about 14.000 EURO as fee waiver and stipend for eligible EU students. Please forward to students who may be interested The School of Computing and Technology, University of Sunderland is delighted to announce the launch of its new MSc Intelligent Systems programme for 24th February. Building on the School's leading edge research in intelligent systems this masters programme will be funded via the ESF scheme (see below). Intelligent Systems is an exciting field of study for science and industry since the currently existing computing systems have often not yet reached the various aspects of human performance. "Intelligent Systems" is a term to describe software systems and methods, which simulate aspects of intelligent behaviour. The intention is to learn from nature and human performance in order to build more powerful computing systems. The aim is to learn from cognitive science, neuroscience, biology, engineering, and linguistics for building more powerful computational system architectures. In this programme a wide variety of novel and exciting techniques will be taught including neural networks, intelligent robotics, machine learning, natural language processing, vision, evolutionary genetic computing, data mining, information retrieval, Bayesian computing, knowledge-based systems, fuzzy methods, and hybrid intelligent architectures. PROGRAMME STRUCTURE The following lectures/modules are available: Neural Networks, Intelligent Systems Architectures, Learning Agents, Evolutionary Computation, Cognitive Neural Science, Knowledge Based Systems and Data Mining, Bayesian Computation, Vision and Intelligent Robots, Natural Language Processing, Dynamics of Adaptive Systems, Intelligent Systems Programming FUNDING FOR ELIGIBLE STUDENTS The Bursary Scheme applies to this Masters programme commencing February 2003 and we have obtained funding through the European Social Fund (ESF). ESF support enables the University to waive the normal tuition fee and provide a bursary of £ 75 per week for 45 weeks for eligible EU students, together up to 6000 pounds or 14000 Euro. For further information in the first instance please see: http://osiris.sund.ac.uk/webedit/allweb/courses/progmode.php?prog=G550A&mode=FT&mode2=&dmode=C For information on applications and start dates contact: gillian.potts@sunderland.ac.uk Tel: 0191 515 2758 For academic information about the programme contact: alfredo.moscardini@sunderland.ac.uk ------------------------------ From: Arnaud Delorme Subject: EEGLAB toolbox released Date: Fri, 15 Nov 2002 14:46:10 -0800 EEGLAB - Tools for advanced EEG data analysis under Matlab using ICA and time/frequency methods - has been released under the GNU public license for download from: http://sccn.ucsd.edu/eeglab/ EEGLAB is an integrated toolbox of 250 Matlab routines for analyzing and visualizing event-related EEG (or MEG) brain data. EEG, event, and channel location data can be read in a variety of formats. A graphic user interface allows users to explore their data interactively, while global data, event, and channel location structures, plus a command history mechanism ease the transition to writing custom analysis scripts. An extensive .html tutorial and help messages allow users to learn to use all parts of the system. Matlab and binary routines for performing infomax and extended-infomax ICA are included, as is the sample EEG data set used throughout the tutorial. Principal authors: Arnaud Delorme & Scott Makeig Swartz Center for Computational Neuroscience Institute for Neural Computation University of California San Diego eeglab@sccn.ucsd.edu ------------------------------ From: zoubin-nips@gatsby.ucl.ac.uk Subject: NIPS*2002 Preproceedings now online Date: Sun, 17 Nov 2002 20:05:29 GMT The Neural Information Processing Systems 2002 Conference Preproceedings are now online at http://nips.cc (follow the link "online preproceedings") The NIPS*2002 preproceedings contain preliminary drafts of most presentations. The final proceedings will be published after the conference, as in previous years. ------------------------------ End of ML-LIST Digest Vol 14, No. 9 ***********************************