From: IN%"mli@math.uwaterloo.ca" "Ming Li" 23-MAR-1994 01:07:47.97 To: IN%"connectionists@cs.cmu.edu" CC: Subj: Preliminary Announcement: ML'94 + COLT'94 An unabbreviated version of this announcement in Latex or postscript can be obtained via anonymous ftp from cs.rutgers.edu in the directory pub/learning94. If you do not have access to ftp, send email to ml94@cs.rutgers.edu or colt94@research.att.com. *=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=* --- Preliminary Announcement --- ML '94 COLT '94 Eleventh International Conference Seventh ACM Conference on on Machine Learning Computational Learning Theory July 10-13, 1994 July 12-15, 1994 Rutgers, The State University of New Jersey, New Brunswick *-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* The COLT and ML conferences will be held together this year at Rutgers University in New Brunswick. This is the first time that COLT and ML will be held in the same location, and we are looking forward to a lively and interdisciplinary meeting of the two communities. Please come and help make this exciting experiment a success. Among the highlights of the conferences are three invited lectures, and, on Sunday, July 10, a day of workshops and tutorials on a variety of topics relevant to machine learning. The tutorials are sponsored by DIMACS, and are free and open to the general public. COLT is sponsored by the ACM Special Interest Groups on Algorithms and Computation Theory (SIGACT) and on Artificial Intelligence (SIGART). In addition, COLT and ML received generous support this year from AT&T Bell Laboratories and the NEC Research Institute. This preliminary announcement, which omits the final technical program, is being provided so that travel arrangements can be made as early as possible. An updated announcement, including the technical program, will be distributed sometime in April. >>>> WARNING <<<< The dates of the conferences coincide this year with the World Cup soccer matches being held at Giants Stadium in East Rutherford, New Jersey. These games are expected to be the largest sporting event ever held in the New York metropolitan area, and it is possible that the volume of soccer fans in the area could adversely affect your ability to make travel reservations. Therefore, IT IS EXTREMELY IMPORTANT THAT YOU MAKE ALL YOUR TRAVEL ARRANGEMENTS AS EARLY AS POSSIBLE. GENERAL INFORMATION LOCATION. The conferences will be held at the College Avenue Campus of Rutgers University in downtown New Brunswick, which is easily accessible by air, train, and car. For air travel, New Brunswick is 35 minutes from Newark International Airport, a major U.S. and international airline hub. By rail, the New Brunswick train station is located less than four blocks from the conference site and is on Amtrak's Northeast corridor. For travel by car, the conference site is approximately three miles from Exit 9 of the New Jersey Turnpike. See instructions below for obtaining a map of the campus. Most conference activities will take place in Scott Hall (#21 on map) and Murray Hall (#22). Conference check-in and on-site registration will take place in Scott Hall (follow signs for exact room location) on Saturday, July 9 at 3-6pm, and everday after that beginning at 8am. REGISTRATION. Please complete the attached registration form, and return it with a check or money order for the full amount. The early registration (postmark) deadline is May 27, 1994. HOUSING. We have established the group rate of $91/night for a single or a double at the HYATT REGENCY HOTEL (about five blocks from the conference site). This rate is only guaranteed through June 10, 1994, and, due to limited availability, it is strongly recommended that you make reservations as soon as possible. To reserve a room, please call the Hyatt directly at 908-873-1234 or 800-233-1234 and be sure to reference ML94 or COLT94. Parking is available at the hotel for a discounted $3/night. We have also reserved dormitory space in two dorms, both of which are an easy walk to the main conference site. Dorm reservations must be made by the early registration deadline of May 27, 1994. Both dorms include daily maid service (linens provided first day for the week and daily fresh towels and beds made). The Stonier Hall dorms (#56 on map) are air-conditioned with private bath and are situated in the center of the campus. Due to limited availability, only shared double rooms are available in Stonier. Only a block away, the Campbell Hall dorms (#50) are one of a set of three "river dorms" overlooking the Raritan River. Although Campbell Hall is not air-conditioned, the view of the river is quite pleasing and rooms on the river side should offer good air flow. Baths in Campbell are shared on each floor, with single and double rooms available. Please specify your dorm preference on your registration form, and we will assign space accordingly on a first come, first served basis as long as rooms are available. Unfortunately, because there are only a finite number of rooms within each dormitory, we cannot absolutely guarantee your request. Check-in for the dorms will take place at the Housing Office in Clothier Hall (#35) which is located next to the Hurtado Health Center (#37) on Bishop Place. Check-in hours will be 4pm to midnight, July 9-13. Parking passes, for those staying in the dorms, will be available upon check-in. TRAVEL BY AIR. Newark International Airport is by far the most convenient. A taxi from the airport to New Brunswick costs about $36 (plus nominal tolls) for up to four passengers. (This is the flat-rate fare for a _licensed_ taxi from the official-looking taxi stand; it is strongly recommended that you refuse rides offered by unlicensed taxi drivers who may approach you elsewhere in the airport.) Shuttle service to New Brunswick is available from ICS for $23 per person. ICS shuttles run direct to the Hyatt, and require at least one-day advance reservations (908-566-0795 or 800-225-4427). If renting a car, follow signs out of the airport to New Jersey Turnpike South, and continue with the directions below. By public transportation, take the Airlink bus ($4 exact fare) to Newark Penn Station and follow the "by rail" directions below. (New Jersey Transit train fare is $5.25 one-way or $8 round trip excursion; trains run about twice an hour during the week, and less often in the evening and on weekends.) TRAVEL BY CAR. Take the New Jersey Turnpike (south from Newark or New York, north from Philadelphia) to Exit 9. Follow signs onto Route 18 North or West (labeled differently at different spots) toward New Brunswick. Take the Route 27, Princeton exit onto Albany Street (Route 27) into downtown New Brunswick. The Hyatt Regency Hotel will be on your left after the first light. If staying at the Hyatt, turn left at the next light, Neilson Street, and left again into the front entrance of the hotel. If staying in the dorms, continue past this light to the following light, George Street, and turn right. Stay on George Street to just before the fifth street and turn left into the Parking Deck (#55 on map). Walk to the Housing Office in Clothier Hall (#35) for dormitory check-in. TRAVEL BY RAIL. Take either an Amtrak or a New Jersey Transit train to the New Brunswick train station. This is located at the corner of Albany Street and Easton Avenue. If staying at the Hyatt Regency Hotel, it is a (long) three block walk to the left on Albany Street to the hotel. If staying in the dorms it is a (long) six block walk to the Housing Office in Clothier Hall (#35 on map) for dormitory check-in. (The taxi stand is in front of the train station on Albany Street.) MEALS. Continental breakfast is included with registration, but not lunch or dinner. Restaurants abound within walking distance of the conference and housing venue, ranging from inexpensive food geared to college students to more expensive dining. A reception on July 12 is scheduled at the rustic Log Cabin, situated next to the experimental gardens of the agricultural campus, as part of the registration package for all ML94 and COLT94 attendees. The banquet on July 13 is included in the registration package for everyone except students. CLIMATE. New Jersey in July is typically hot, with average daily highs around 85 degrees, and overnight lows around 70. Most days in July are sunny, but also come prepared for the possibility of occasional rain. THINGS TO DO. The newly opened Liberty Science Center is a fun, hands-on science museum located in Liberty State Park, about 30-45 minutes from New Brunswick (201-200-1000). From Liberty State Park, one can also take a ferry to the Statue of Liberty and the Immigration Museum at Ellis Island. New York City can be reached in under an hour by rail on New Jersey Transit. Trains run about twice an hour during the week, and once an hour on weekends and at night. Fare is $7.75 one-way, $11.50 round trip excursion. New Brunswick has a number of theaters, including the State Theater (908-247-7200), the George Street Playhouse (908-246-7717), and the Crossroads Theater (908-249-5560). The New Jersey shore is less than an hour from New Brunswick. Points along the shore vary greatly in character. Some, such as Point Pleasant, have long boardwalks with amusement park rides, video arcades, etc. Others, such as Spring Lake, are quiet and uncommercialized with clean and very pretty beaches. Further south, about two hours from New Brunswick, are the casinos of Atlantic City. You can walk for miles and miles along the towpath of the peaceful Delaware and Raritan Canal which runs from New Brunswick south past Princeton. Your registration packet will include a pass for access to the College Avenue Gymnasium (near the dormitories, #77 on map). FURTHER INFORMATION. If you have any questions or problems, please send email to colt94@research.att.com or to ml94@cs.rutgers.edu. A map of the campus, abstracts of workshops/tutorials, updates of this announcement, and other information will be available via anonymous ftp from cs.rutgers.edu in the directory pub/learning94. For New Jersey Transit fare and schedule information, call 800-772-2222 (in New Jersey) or 201-762-5100 (out-of-state). TECHNICAL PROGRAM The technical program for the conferences has not yet been finalized, but will be distributed sometime in April. All ML technical sessions will be held July 11-13, and all COLT sessions will be held July 12-15. INVITED LECTURES: * Michael Jordan, "Hidden decision tree models." * Stephen Muggleton, "Recent advances in inductive logic programming." * Fernando Pereira, "Frequencies vs biases: Machine learning problems in natural language processing." PAPERS ACCEPTED TO ML: A Baysian framework to integrate symbolic and neural learning. Irina Tchoumatchenko, Jean Gabriel Ganascia. A case for Occam's razor in the task of rule-base refinement. J. Jeffrey Mahoney, Raymond Mooney. A conservation law for generalization performance. Cullen Schaffer. A constraint-based induction algorithm in FOL. Michele Sebag. A Modular Q-learning architecture for manipulator task decomposition. Chen Tham, Richard Prager. A new method for predicting protein secondary structures based on stochastic tree grammars. Naoki Abe, Hiroshi Mamitsuka. A powerful heuristic for the discovery of complex patterned behavior. Raul E. Valdes-Perez, Aurora Perez. An efficient subsumption algorithm for inductive logic programming. Jorg-Uwe Kietz, Marcus Lubbe. An improved algorithm for incremental induction of decision trees. Paul Utgoff. An incremental learning approach for completable planning. Melinda T. Gervasio, Gerald F. DeJong. Combining top-down and bottom-up techniques in inductive logic programming. John M. Zelle, Raymond Mooney, Joshua Konvisser. Comparison of boosting to other ensemble methods using neural networks. Harris Drucker, Yann LeCun, L. Jackel, Corinna Cortes, Vladimir Vapnik. Compositional instance-based learning. Karl Branting, Patrick Broos. Consideration of risk in reinforcement learning. Matthias Heger. Efficient algorithms for minimizing cross validation error. Mary Lee, Andrew W. Moore. Exploiting the ordering of observed problem-solving steps for knowledge base refinement: an apprenticeship approach. Steven Donoho, David C. Wilkins. Getting the most from flawed theories. Moshe Koppel, Alberto Segre, Ronen Feldman. Greedy attribute selection. Richard A. Caruana, Dayne Freitag. Hierarchical self-organization in genetic programming. Justinian Rosca, Dana Ballard. Heterogeneous uncertainty sampling for supervised learning. David D. Lewis, Jason Catlett. Improving accuracy of incorrect domain theories. Lars Asker. In defense of C4.5: notes on learning one-level decision trees. Tapio Elomaa. Increasing the efficiency of simulated annealing search by learning to recognize (un)promising runs. Yoichihro Nakakuki, Norman Sadeh. Incremental multi-step Q-learning. Jing Peng, Ronald Williams. Incremental reduced error pruning. Johannes Furnkranz, Gerhard Widmer. Irrelevant features and the subset selection problem. George H. John, Ron Kohavi, Karl Pfleger. Learning by experimentation: incremental refinement of incomplete planning domains. Yolanda Gil. Learning disjunctive concepts by means of genetic algorithms. Attilio Giordana, Lorenza Saitta, F. Zini. Learning recursive relations with randomly selected small training sets. David W. Aha, Stephane Lapointe, Charles Ling, Stan Matwin. Learning semantic rules for query reformulation. Chun-Nan Hsu, Craig Knoblock. Markov games as a framework for multi-agent reinforcement learning. Michael Littman. Model-Free reinforcement learning for non-markovian decision problems. Satinder Pal Singh, Tommi Jaakkola, Michael I. Jordan. On the worst-case analysis of temporal-difference learning algorithms. Robert Schapire, Manfred Warmuth. Prototype and feature selection by sampling and random mutation hill climbing algorithms. David B. Skalak. Reducing misclassification costs: Knowledge-intensive approaches to learning from noisy data. Michael J. Pazzani, Christopher Merz, Patrick M. Murphy, Kamal M. Ali, Timothy Hume, Clifford Brunk. Revision of production system rule-bases. Patrick M. Murphy, Michael J. Pazzani. Reward functions for accelerated learning. Maja Mataric. Selective reformulation of examples in concept learning. Jean-Daniel Zucker, Jean Gabriel Ganascia. Small sample decision tree pruning. Sholom Weiss, Nitin Indurkhya. The generate, test and explain discovery system architecture. Michael de la Maza. The minimum description length principle and categorical theories. J. R. Quinlan. To discount or not to discount in reinforcement learning: a case study comparing R~learning and Q~learning. Sridhar Mahadevan. Towards a better understanding of memory-based and Bayesian classifiers. John Rachlin, Simon Kasif, Steven Salzberg, David W. Aha. Using genetic search to refine knowledge-based neural networks. David W. Opitz, Jude Shavlik. Using sampling and queries to extract rules from trained neural networks. Mark W. Craven, Jude Shavlik. WORKSHOPS AND DIMACS-SPONSORED TUTORIALS On Sunday, July 10, we are pleased to present four all-day workshops, five half-day tutorials, and one full-day advanced tutorial. The DIMACS-sponsored tutorials are free and open to the general public. Participation in the workshops is also free, but is at the discretion of the workshop organizers. Note that some of the workshops have quickly approaching application deadlines. Please contact the workshop organizers directly for further information. Some information is also available on our ftp site (see "further information" above). TUTORIALS: T1. State of the art in learning DNF rules morning/afternoon (advanced tutorial) Dan Roth danr@das.harvard.edu Jason Catlett catlett@research.att.com T2. Descriptional complexity and inductive learning morning Ed Pednault epdp@research.att.com T3. Computational learning theory: introduction and survey morning Lenny Pitt pitt@cs.uiuc.edu T4. What does statistical physics have to say about learning? morning Sebastian Seung seung@physics.att.com Michael Kearns mkearns@research.att.com T5. Reinforcement learning afternoon Leslie Kaelbling lpk@cs.brown.edu T6. Connectionist supervised learning--an engineering afternoon approach Tom Dietterich tgd@research.cs.orst.edu Andreas Weigend andreas@cs.colorado.edu WORKSHOPS: W1. Robot Learning morning/afternoon/evening Sridhar Mahadevan mahadeva@csee.usf.edu W2. Applications of descriptional complexity to afternoon/evening inductive, statistical and visual inference Ed Pednault epdp@research.att.com W3. Constructive induction and change of morning/afternoon representation Tom Fawcett fawcett@nynexst.com W4. Computational biology and machine learning morning/afternoon Mick Noordewier noordewi@cs.rutgers.edu Lindley Darden darden@umiacs.umd.edu REGISTRATION FOR COLT94/ML94 Please complete the registration form below, and mail it with your payment for the full amount to: Priscilla Rasmussen, ML/COLT'94 Rutgers, The State University of NJ Laboratory for Computer Science Research Hill Center, Busch Campus Piscataway, NJ 08855 (Sorry, registration cannot be made by email, phone or fax.) Make your check or money order payable in U.S. dollars to Rutgers University. For early registration, and to request dorm housing, this form must be mailed by May 27, 1994. For questions about registration, please contact Priscilla Rasmussen (rasmussen@cs.rutgers.edu; 908-932-2768). Name: _____________________________________________________ Affiliation: ______________________________________________ Address: __________________________________________________ ___________________________________________________________ Country: __________________________________________________ Phone: _______________________ Fax: _______________________ Email: ____________________________________________________ Confirmation will be sent to you by email. REGISTRATION. Please circle the *one* conference for which you are registering. (Even if you are planning to attend both conferences, please indicate the one conference that you consider to be "primary.") COLT94 ML94 The registration fee includes a copy of the proceedings for the *one* conference circled above (extra proceedings can be ordered below). Also included is admission to all ML94 and COLT94 talks and events (except that student registration does not include a banquet ticket). Regular advance registration: $190 $_______ ACM/SIG member advance registration: $175 $_______ Late registration (after May 27): $230 $_______ Student advance registration: $85 $_______ Student late registration (after May 27): $110 $_______ Extra reception tickets (July 12): _____ x $17 = _______ Extra banquet tickets (July 13): _____ x $40 = _______ Extra COLT proceedings: _____ x $35 = _______ Extra ML proceedings: _____ x $35 = _______ Dorm housing (from below): $_______ TOTAL ENCLOSED: $_______ How many in your party have dietary restrictions? Vegetarian: _____ Kosher: _____ Other: ______________ Circle your shirt size: small medium large X-large HOUSING. Please indicate your housing preference below. Descriptions of the dorms are given under "housing" above. Dorm assignments will be made on a first come, first served basis, so please send your request in as early as possible. We will notify you by email if we cannot fill your request. _____ Check here if you plan to stay at the Hyatt (reservations must be made directly with the hotel by June 10). _____ Check here if you plan to make your own housing arrangements (other than at the Hyatt). _____ Check here to request a room in the dorms and circle the appropriate dollar amount below: Dorm: Stonier Campbell Length of stay: dbl. sing. dbl. ML only (July 9-13): $144 144 108 COLT only (July 11-15): 144 144 108 ML and COLT (July 9-15): 216 216 162 If staying in a double in the dorms, who will your roommate be? ____________________________________ For either dorm, please indicate expected day and time of arrival and departure. Note that check-in for the dorms must take place between 4pm and midnight on July 9-13. Expected arrival: ______ ______ (date) (time) Expected departure: ______ ______ (date) (time) TUTORIALS. The DIMACS-sponsored tutorials on July 10 are free and open to the general public. For our planning purposes, please circle those tutorials you plan to attend. Morning: T1 T2 T3 T4 Afternoon: T1 T5 T6 To participate in a workshop, please contact the workshop organizer directly. There is no fee for any workshop, and all workshops will be held on July 10. REFUNDS. The entire dorm fee, and one-half of the registration fee are refundable through June 24. Send all requests by email to rasmussen@cs.rutgers.edu. Return-path: Received: from merak.fapesp.br by ccvax.unicamp.br (PMDF #2801 ) id <01HAAJQ1K1O090MU5Y@ccvax.unicamp.br>; Wed, 23 Mar 1994 00:49:58 BSC (-0300 C) Received: from lac.inpe.br (mercurio.lac.inpe.br) by merak.fapesp.br with PMDF#10108; Wed, 23 Mar 1994 00:46 BSC (-0300 C) Received: from TELNET-1.SRV.CS.CMU.EDU by lac.inpe.br (4.1/SMI-4.1/LAC(mercurio)-1.0) id AA04266; Wed, 23 Mar 94 00:50:12 EST Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa22022; 22 Mar 94 20:34:49 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa22020; 22 Mar 94 20:13:44 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04338; 22 Mar 94 20:12:55 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa13007; 22 Mar 94 17:36:24 EST Received: from math.uwaterloo.ca by CS.CMU.EDU id aa13994; 22 Mar 94 17:35:53 EST Received: by math.uwaterloo.ca id <77988-4>; Tue, 22 Mar 1994 17:35:39 -0500 Date: 22 Mar 1994 17:35:31 -0500 From: Ming Li Subject: Preliminary Announcement: ML'94 + COLT'94 To: connectionists@cs.cmu.edu Message-id: <94Mar22.173539est.77988-4@math.uwaterloo.ca> X-Envelope-to: sabbatini Content-transfer-encoding: 7BIT