Received: from ics.uci.edu by Paris.ics.uci.edu id aa13837; 31 Aug 93 15:22 PDT Received: from ics.uci.edu by q2.ics.uci.edu id aa22233; 31 Aug 93 15:22 PDT To: ML-LIST: ; Subject: Machine Learning List: Vol. 5 No. 19 Reply-to: ml@ics.uci.edu Date: Tue, 31 Aug 1993 15:01:54 -0700 From: Michael Pazzani Message-ID: <9308311522.aa22233@q2.ics.uci.edu> Machine Learning List: Vol. 5 No. 19 Tuesday, August 31, 1993 Contents: UCI Machine Learning Repository Update The Fourth International Workshop on Inductive Logic Programming CFP -- Spring Symposium on Goal-Driven Learning Journal of Artificial Intelligence Research UAI-94 call for papers The Machine Learning List is moderated. Contributions should be relevant to the scientific study of machine learning. Mail contributions to ml@ics.uci.edu. Mail requests to be added or deleted to ml-request@ics.uci.edu. Back issues may be FTP'd from ics.uci.edu in pub/ml-list/V/ or N.Z where X and N are the volume and number of the issue; ID: anonymous PASSWORD: ---------------------------------------------------------------------- Subject: UCI Machine Learning Repository Update Date: Mon, 30 Aug 1993 22:09:04 -0700 From: "Patrick M. Murphy" The following is a list of databases that have recently been added to the UCI Machine Learning Repository. Any comments or donations would be creatly appreciated (ml-repository@ics.uci.edu). Patrick M. Murphy (Site Librarian) David W. Aha (Off-Site Assistant) - AAAI 1994 Spring Symposium (AIM-94) Datasets: [Available in ftp.ics.uci.edu:pub/machine-learning-databases/aim-94] Two large data samples are available to serve as training and test sets for various approaches to information management and to provide a common domain of discourse. The samples include: * A dense, high volume data set typical of a critical care environment. This data set consist of hemodynamic measurements, mechanical ventilator settings, laboratory values including arterial blood gas measurements, and treatment information covering a 12-hour period of the ICU treatment of a patient with severe respiratory distress. * A large number of sparse data sets representative of outpatient environments. The data includes blood glucose measurements, treatment, and lifestyle information on 70 patients with diabetes mellitus. Each patient record consists of several weeks' to months' worth of clinical information sampled at irregular intervals. These sets are available immediately to be used as training cases. For interested parties, 10 more case records will be made available two weeks prior to the symposium to be used as an optional testing set for various approaches. - Announcement of the AIM-94 Matchmaker Service: [from AIM-94-CFP] We realize that an accurate interpretation of clinical data requires a thorough understanding of the physiological principles and clinical issues involved. We also realize that many AIM researchers do not have convenient access to medical expertise, and that a symposium focusing on a clinical theme may catch several parties at a disadvantage. Conversely, some clinical researchers may be interested in participating but may not have collaborators on the computer science end of the field. To offset such disadvantages, we will provide a simple 'Matchmaker' service for AIM-94. The purpose of this service is to establish a medium by which researchers can seek collaborators of complementary background and interests for AIM-94 participation and beyond. If you are interested in participating in this program, send a one-paragraph description of your background, research interests, and the type of collaboration you are pursuing to by September 20th. We will collate these entries and distribute the whole list to all participants of the program. It will be the participants' responsibility to contact others to discuss and establish collaborative efforts; AIM-94 organizers will solely act as mediators. - For questions regarding the conference see the file "AIM-94-CFP" ------------------------------ Subject: The Fourth International Workshop on Inductive Logic Programming Date: Sat, 14 Aug 93 19:58:25 +0200 From: Stefan.Wrobel@gmd.de The Fourth International Workshop on Inductive Logic Programming (ILP94) September 12 -- 14, 1994 Bad Honnef/Bonn, Germany Announcement and First Call for Papers General Information Originating from the intersection of Machine Learning and Logic Programming, Inductive Logic Programming (ILP) is an important and rapidly developing field that focuses on theory, methods, and applications of learning in relational, first-order logic formalisms. ILP94 is the fourth in a series of international workshops designed to bring together developers and users of ILP in a format that allows a detailed exchange of ideas and discussions. Reflecting the growing maturity of the field, ILP94 for the first time will offer a systems and application exhibit as an opportunity to demonstrate the practical results and capabilities of ILP. Submission of papers Reflecting the broadening scope of the field, ILP94 invites papers covering on the three main aspects of ILP, namely inductive data analysis and learning in first-order formalisms, inductive synthesis of non-trivial logic programs from examples, and inductive tools for software engineering. Possible topics include, but are not restricted to: o complexity of learning in o relationships between ILP logical formalisms and neighboring areas o higher-order learning o predicate invention o learning of integrity constraints o theory revision and restructuring o multiple predicate learning o learning in relational formalisms o handling of noise o declarative bias o architectures for ILP o comparative analyses of ILP methods o application discussions Ideally, papers should fit into one of the following categories: Theory. Theory papers prove results about a new or known ILP problem or method, discuss the relationship with neighboring fields, or present a unified analysis of several methods. Methods. Method papers present details of new algorithms, ideally including theoretical and complexity analysis, and empirical results on important applications. Ideally, a method paper would be accompanied by a system demo. Applications. Application papers describe one or more real-life ILP applications in detail, justifying the use of ILP techniques, and giving a reproducible presentation of experiments and results. Ideally, an application paper would be accompanied by an application demo. Please submit four paper copies of your paper to the workshop chair Stefan Wrobel GMD, I3.KI Schloss Birlinghoven 53757 Sankt Augustin, Germany. E-Mail: ilp-94@gmd.de Fax: +49/2241/14-2889 Tel: +49/2241/14-2670 to be received on or before May 31, 1994. There is no fixed page limit on submissions, but length should be reasonable and adequate for the topic. Please use LaTeX if at all possible. Authors will be notified of acceptance or rejection until July 15, 1994, and camery-ready copy will be due on August 9, 1994. Program Committee Francesco Bergadano (Italy) Ivan Bratko (Slovenia) Wray Buntine (USA) William W. Cohen (USA) Luc de Raedt (Belgium) Koichi Furukawa (Japan) J"org-Uwe Kietz (Germany) Nada Lavrac (Slovenia) Stan Matwin (Canada) Stephen Muggleton (UK) C'eline Rouveirol (France) Claude Sammut (Australia) Proceedings To keep submission dates close to the workshop, accepted papers will be published as a GMD technical report to be distributed at the workshop and officially available to others from GMD afterwards. Publication of an edited book is planned for after the workshop. Systems and Applications Exhibition ILP94 offers participants an opportunity to demonstrate their systems and/or applications. Please announce your intention to demo to the conference office until August 1, 1994, specifying precisely what type of hardware and software you need. Location ILP94 will take place in Bad Honnef, a small resort town close to Bonn in the Rhine valley and adjacent to the Siebengebirge nature park. Participants will be able to take advantage of Bad Honnef's vicinity to medieval castles and of the new wine season that starts at the time of the workshop. Registration and Conference Office Please address all correspondence regarding registration to: Christine Harms ILP94 c/o GMD Schloss Birlinghoven 53757 Sankt Augustin, Germany Tel. +49/2241 14-2473, Fax +49/2241 14-2472 or 2618 E-Mail ilp-94@gmd.de If you send (preferably by E-Mail) the following information to Christine Harms, you will be sent a complete registration brochure as soon as it is available: Last name: First name: Institution: Zip code, city: Country: E-Mail: Fax: Intend to submit a paper? Important Dates Paper submission deadline: May 31, 1994 Notification of acceptance: July 15, 1994 Demo requests: August 1, 1994 Camera-ready copy due: August 9, 1994 Early registration: August 9, 1994 Workshop: September 12 -- 14, 1994 ------------------------------ Subject: CFP -- Spring Symposium on Goal-Driven Learning Date: Fri, 20 Aug 93 15:21:25 -0700 From: marie@erg.sri.COM AAAI-94 SPRING SYMPOSIUM ON GOAL-DRIVEN LEARNING Stanford University March 21-23, 1994 CALL FOR PARTICIPATION Program Committee: Marie desJardins (co-chair) Lawrence Hunter Foster John Provost Ashwin Ram (co-chair) Goal-driven learning refers to the process of using the overall goals of an intelligent system to make decisions about when learning should occur, what should be learned, and which learning strategies are appropriate in a given context. This focusing process may take place at any decision point during learning---for example, when determining what to learn, selecting a bias, pruning the space of theories to be considered, or generating experiments for data gathering. Research in psychology, education, and AI has shown the need for intelligent systems to make decisions about what and how to learn. The common rationale, and the principle around which the symposium will be organized, is that the value of learning depends on how well it satisfies the goals of the system. The symposium will bring together researchers from diverse research areas to discuss issues in how learning goals arise, how they affect learner decisions of when and what to learn, and how they guide the learning process. Topics addressed by the symposium will span the diverse work in this area, which includes research in formulating learning goals, experiment generation, utility of knowledge assessment, evaluating and selecting learning biases, explanation-based learning, learning from texts, active learning, case-based reasoning, formal analyses of decision making, automated question generation, knowledge acquisition planning, reinforcement learning, and control theory. We encourage researchers from fields other than these to submit papers on related research. In addition to technical presentations, the symposium will include a session of invited talks on relevant topics, such as formal utility analyses of learning, automated experiment planning, psychological evidence for goal-driven learning behavior in humans, human educational motivation, and question generation. Depending on the number and quality of submitted papers, we may include a poster session as well. If there is sufficient overlap, we will arrange a joint session with the symposium on Decision-Theoretic Planning. Time will be set aside for debate and discussion during the technical sessions, and the symposium will conclude with a panel and audience discussion of the issues raised during the symposium. Members of the concluding panel will be selected during the meeting, with the intention of creating a panel representative of the viewpoints expressed at the symposium. In order to stimulate debate and discussion on future directions for research as well as evaluation of existing approaches to goal-driven learning, we encourage the submission of extended abstracts describing work in progress, position papers, and papers describing innovative unexplored approaches, as well as papers describing mature research results. If you wish to present a paper, please submit four hardcopies of a paper or extended abstract by October 15 to: Prof. Ashwin Ram College of Computing Georgia Institute of Technology Atlanta, GA 30332-0280 (404) 853-9372 Shorter submissions (under five pages) are encouraged; however, longer submissions (up to ten pages) will be accepted. If you wish only to participate in the workshop, please submit two hardcopies of a research summary describing your relevant research interests. Questions may directed to Prof. Ram (ashwin@cc.gatech.edu) or to Marie desJardins (marie@erg.sri.com). SCHEDULE: October 15, 1993 Papers due November 15, 1993 Acceptance/rejection notices mailed January 31, 1994 Camera-ready papers due February 15, 1994 Registration deadline for invitees March 1, 1994 Final registration deadline March 21-23 Symposium at Stanford Univ. ------------------------------ Date: Sun, 29 Aug 93 00:20:30 PDT From: Steve Minton Subject: Journal of Artificial Intelligence Research Journal of Artificial Intelligence Research ANNOUNCEMENT The AI Access Foundation is pleased to announce that the Journal of Artificial Intelligence Research (JAIR) is now available over the internet. You can access JAIR via either Usenet (see the newsgroup comp.ai.jair.announce), anonymous FTP or automated email. For further information, send electronic mail to jair@cs.cmu.edu with the subject ``autorespond'' and the message body ``help'', or contact jair-ed@ptolemy.arc.nasa.gov. FORTHCOMING ARTICLES M. Wellman, A Market-Oriented Programming Environment and its Application to Distributed Multicommodity Flow Problems M. Ginsberg, Dynamic Backtracking I. Gent and T. Walsh, An Empirical Analysis of Search in GSAT CALL FOR PAPERS JAIR is a refereed publication, covering all areas of AI, that will be distributed over the internet. In addition, each complete volume of JAIR will be published by Morgan Kaufmann. JAIR will offer AI researchers several advantages over existing journals: -- To promote rapid publication of research results, articles sent to JAIR will be reviewed and returned to the authors in approximately 6 weeks. Electronic publication will occur immediately after the editor receives the final version of an accepted article. -- Articles will be distributed free of charge over the internet via ftp, automated email, and a newsgroup. Articles will be available in postscript. (We are considering additional formats as well.) -- Subscribers will be able to take full advantage of the electronic medium. JAIR will support a variety of electronic services, such as online appendices containing data/code. JAIR will only publish articles of the highest quality. Submissions will be evaluated on their originality and significance. All claims should be clearly articulated and justified either empirically or theoretically. Papers should describe work that has both practical and theoretical significance. We encourage authors to be concise. Short, high-quality articles will be welcomed, in addition to the longer articles that traditionally appear in AI journals. JAIR will also publish technical notes -- very brief papers that extend or evaluate previous work. We invite submissions in all areas of AI, including automated reasoning, cognitive modeling, knowledge representation, learning, natural language, perception, and robotics. EXECUTIVE EDITOR Steven Minton ASSOCIATE EDITORS Jon Doyle Richard Korf Fausto Giunchiglia Wendy Lehnert Henry Kautz Richard Sutton Daniel Weld EDITORIAL BOARD Jan Aikins David Haussler Martha Pollack Yuichiro Anzai Julia Hirschberg Ross Quinlan Rodney Brooks Lawrence Hunter Edwina Rissland Murray Campbell Takeo Kanade Paul Rosenbloom Thomas Dean Hiroaki Kitano Stuart Russell Rina Dechter Pat Langley Erik Sandewall Gerald DeJong Ramon Lopez de Mantaras Bart Selman Johan de Kleer David McAllester Stuart Shieber Didier Dubois Kathleen McKeown Douglas Smith Edmund Durfee Stephen Muggleton Luc Steels David Etherington Hideyuki Nakashima Anthony Stentz Oren Etzioni Nils Nilsson Peter Struss Kenneth Forbus Toyoaki Nishida Hozumi Tanaka Michael Georgeff Christos Papadimitriou Austin Tate Matthew Ginsberg Judea Pearl David Touretzky Walter Hamscher Tomaso Poggio Michael Wellman ADVISORY BOARD Jaime Carbonell Kenneth Forbus Paul Rosenbloom Thomas Dietterich Peter Friedland Bart Selman Oren Etzioni Matthew Ginsberg ------------------------------ Date: Mon, 23 Aug 1993 15:56:38 UTC From: mantaras@ceab.es Subject: UAI-94 call for papers Tenth Annual Conference on Uncertainty in Artificial Intelligence July 29-31, 1994, Seattle, Washington CALL FOR PAPERS Reasoning under uncertainty is pervasive in all areas of Artificial Intelligence. The Uncertainty in AI conference is the major forum for advances in the theory and practice of reasoning under uncertainty. We are seeking contributions both from researchers interested in advancing the technology and from practitioners who are using uncertainty techniques in applications. The tenth annual Conference on Uncertainty in Artificial Intelligence will be devoted to methods for reasoning under uncertainty as applied to problems in artificial intelligence. The conference's scope covers the full range of approaches to automated and interactive reasoning and decision making under uncertainty, including both qualitative and numeric methods. We seek papers on fundamental theoretical issues, on representational issues, on computational techniques and on applications of uncertain reasoning, using traditional and alternative paradigms of uncertain reasoning. Topics of interest include (but are not limited to): Methods and Techniques foundations of uncertainty concepts, representation languages for uncertain knowledge, knowledge acquisition, construction of uncertainty models from data, uncertainty in machine learning, automated planning and acting, uncertainty in ill-defined environments, decision making under uncertainty, algorithms for uncertain inference, empirical studies of reasoning strategies, pooling of uncertain evidence, belief updating and inconsistency handling, summarization of uncertain information, and control of reasoning and real-time architectures. Applications Questions of particular interest include: Why was it necessary to represent uncertainty in your domain? What kind of uncertainties does your application address? Why did you decide to use your particular uncertainty formalism? What theoretical problems, if any, did you encounter? What practical problems did you encounter? Did users of your system find the results or recommendations useful? Did your system lead to improvements in reasoning or decision making? What methods were used to validate the effectiveness of the systems? What did you learn about what was or was not effective in your domain? Papers will be refereed for originality, significance, technical soundness, and clarity of exposition. Application papers will be judged according to criteria appropriate for application papers, such as those related to the questions above. Papers may be accepted for presentation in plenary or poster sessions. Some key applications oriented work may be presented both in a plenary session and in a poster session where more technical details can be discussed. All accepted papers will be included in the published proceedings. Outstanding student papers may be selected for special distinction. Submission of Papers Five copies of complete papers (hardcopy only) should be sent to one of the Program Co-Chairs by February 1, 1994. The first page should include a descriptive title, the names, addresses (regular mail and email), and student status of all authors, a brief abstract, and salient keywords or other topic indicators. To aid in finding appropriate reviewers, the title, abstract and keywords should be e-mailed to uai94@cs.ubc.ca . Acceptance notices will be sent by March 31, 1994. Final camera-ready papers, incorporating reviewers' suggestions, will be due approximately four weeks later. There will be an eight-page limit on proceedings papers, with one extra page available for a fee. Program Co-Chairs (paper submissions): Ramon Lopez de Mantaras Artificial Intelligence Research Institute CSIC 17300 Blanes, Spain Tel: +34-72-336101 Fax: +34-72-337806, e-mail: mantaras@ceab.es David Poole, Department of Computer Science, 2366 Main Mall, Room 201, University of British Columbia, Vancouver, B.C., Canada V6T 1Z4 Tel: +1 (604) 822-6254, Fax: +1 (604) 822-5485 email: poole@cs.ubc.ca General Chair (conference inquiries): David Heckerman One Microsoft Way Building 9S/1024 Redmond, WA 98052-6399 Tel: (206) 936-2662, Fax: (206) 644-1899 email: heckerma@microsoft.com ------------------------------ End of ML-LIST (Digest format) ****************************************