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Note: Links lead to the DBLP on the Web. Lyle H. Ungar Alexandrin Popescul , Lyle H. Ungar, Steve Lawrence , David M. Pennock : Statistical Relational Learning for Document Mining. ICDM 2003 : 275-282 Panos M. Markopoulos , Ravi Aron , Lyle H. Ungar: Dual Pricing in Electronic Markets. ICIS 2003 : 485-496 Dmitry Pavlov , Alexandrin Popescul , David M. Pennock , Lyle H. Ungar: Mixtures of Conditional Maximum Entropy Models. ICML 2003 : 584-591 Seung-Taek Park , Alexy Khrabrov , David M. Pennock , Steve Lawrence , C. Lee Giles , Lyle H. Ungar: Static and Dynamic Analysis of the Internet's Susceptibility to Faults and Attacks. INFOCOM 2003 Andrew I. Schein , Alexandrin Popescul , Lyle H. Ungar, David M. Pennock : Methods and metrics for cold-start recommendations. SIGIR 2002 : 253-260 Panos M. Markopoulos , Lyle H. Ungar: Pricing price information in e-commerce. ACM Conference on Electronic Commerce 2001 : 260-263 David C. Parkes , Lyle H. Ungar: An auction-based method for decentralized train scheduling. Agents 2001 : 43-50 Eugen C. Buehler , Lyle H. Ungar: Maximum entropy methods for biological sequence modeling. BIOKDD 2001 : 60-64 Gregory Z. Grudic , Lyle H. Ungar: Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning. IJCAI 2001 : 965-972 Gregory Z. Grudic , Lyle H. Ungar: Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning. NIPS 2001 : 1515-1522 Alexandrin Popescul , Lyle H. Ungar, David M. Pennock , Steve Lawrence : Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. UAI 2001 : 437-444 Gregory Z. Grudic , Lyle H. Ungar: Localizing Search in Reinforcement Learning. AAAI/IAAI 2000 : 590-595 David C. Parkes , Lyle H. Ungar: Iterative Combinatorial Auctions: Theory and Practice. AAAI/IAAI 2000 : 74-81 David C. Parkes , Lyle H. Ungar: Preventing Strategic Manipulation in Iterative Auctions: Proxy Agents and Price-Adjustment. AAAI/IAAI 2000 : 82-89 Alexandrin Popescul , Gary William Flake , Steve Lawrence , Lyle H. Ungar, C. Lee Giles : Clustering and Identifying Temporal Trends in Document Databases. ADL 2000 : 173-182 Gregory Z. Grudic , Lyle H. Ungar: Localizing Policy Gradient Estimates to Action Transition. ICML 2000 : 343-350 Andrew McCallum , Kamal Nigam , Lyle H. Ungar: Efficient clustering of high-dimensional data sets with application to reference matching. KDD 2000 : 169-178 David C. Parkes , Lyle H. Ungar, Dean P. Foster : Accounting for Cognitive Costs in On-Line Auction Design. AMET 1998 : 25-40 Dale Schuurmans , Lyle H. Ungar, Dean P. Foster : Characterizing the generalization performance of model selection strategies. ICML 1997 : 340-348 Marcos Salganicoff , Lyle H. Ungar, Ruzena Bajcsy : Active Learning for Vision-Based Robot Grasping. Machine Learning 23 (2-3): 251-278 (1996) Marcos Salganicoff , Lyle H. Ungar: Active Exploration and Learning in real-Valued Spaces using Multi-Armed Bandit Allocation Indices. ICML 1995 : 480-487 Jonathan M. Vinson , Stephen D. Grantham , Lyle H. Ungar: Automatic Rebuilding of Qualitative Models for Diagnosis. IEEE Expert 7 (4): 23-30 (1992) 1 [ 21 ] 2 [ 3 ] 3 [ 15 ] 4 [ 8 ] 5 [ 4 ] [ 5 ] 6 [ 8 ] [ 19 ] 7 [ 1 ] 8 [ 7 ] [ 11 ] [ 13 ] [ 14 ] 9 [ 19 ] 10 [ 8 ] [ 12 ] [ 19 ] [ 22 ] 11 [ 17 ] [ 21 ] 12 [ 6 ] 13 [ 6 ] 14 [ 19 ] 15 [ 5 ] [ 9 ] [ 10 ] [ 16 ] 16 [ 20 ] 17 [ 12 ] [ 18 ] [ 19 ] [ 20 ] [ 22 ] 18 [ 8 ] [ 12 ] [ 18 ] [ 20 ] [ 22 ] 19 [ 2 ] [ 3 ] 20 [ 18 ] 21 [ 4 ] 22 [ 1 ]  ©2004 Association for Computing Machinery |
