- CSB - MetaPress - Google - Bing - Yahoo
 | 2012 | |
|---|---|---|
| j5 |      | Matthew Ruffalo, Mehmet Koyutürk, Soumya Ray, Thomas LaFramboise: Accurate estimation of short read mapping quality for next-generation genome sequencing. Bioinformatics 28(18): 349-355 (2012) |
| j4 | | Soumya Ray, Sung S. Kim, James G. Morris: Research Note - Online Users' Switching Costs: Their Nature and Formation. Information Systems Research 23(1): 197-213 (2012) |
| c18 | | Boya Sun, Gang Shu, Andy Podgurski, Soumya Ray: CARIAL: Cost-Aware Software Reliability Improvement with Active Learning. ICST 2012: 360-369 |
| c17 | | |
| i1 | | Eric Lantz, Soumya Ray, David Page: Learning Bayesian Network Structure from Correlation-Immune Data. CoRR abs/1206.5271 (2012) |
| 2011 | ||
| j3 | | Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich: Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning. AI Magazine 32(1): 35-50 (2011) |
| c16 | | Tu Ouyang, Soumya Ray, Michael Rabinovich, Mark Allman: Can Network Characteristics Detect Spam Effectively in a Stand-Alone Enterprise? PAM 2011: 92-101 |
| 2010 | ||
| c15 | | Boya Sun, Andy Podgurski, Soumya Ray: Improving the Precision of Dependence-Based Defect Mining by Supervised Learning of Rule and Violation Graphs. ISSRE 2010: 1-10 |
| r2 | | Soumya Ray, Prasad Tadepalli: Model-Based Reinforcement Learning. Encyclopedia of Machine Learning 2010: 690-693 |
| r1 | | Soumya Ray, Stephen Scott, Hendrik Blockeel: Multi-Instance Learning. Encyclopedia of Machine Learning 2010: 701-710 |
| 2009 | ||
| j2 | | Lisa Hellerstein, Bernard Rosell, Eric Bach, Soumya Ray, David Page: Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions. Journal of Machine Learning Research 10: 2374-2411 (2009) |
| 2008 | ||
| c14 | | Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich: Automatic discovery and transfer of MAXQ hierarchies. ICML 2008: 648-655 |
| 2007 | ||
| c13 | | Hei Chan, Alan Fern, Soumya Ray, Nick Wilson, Chris Ventura: Online Planning for Resource Production in Real-Time Strategy Games. ICAPS 2007: 65-72 |
| c12 | | Jesse Davis, Vítor Santos Costa, Soumya Ray, David Page: An integrated approach to feature invention and model construction for drug activity prediction. ICML 2007: 217-224 |
| c11 | | Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli: Multi-task reinforcement learning: a hierarchical Bayesian approach. ICML 2007: 1015-1022 |
| c10 | | |
| c9 | | Eric Lantz, Soumya Ray, David Page: Learning Bayesian Network Structure from Correlation-Immune Data. UAI 2007: 235-242 |
| 2005 | ||
| j1 | | Soumya Ray, Mark Craven: Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text. BMC Bioinformatics 6(S-1) (2005) |
| c8 | | Soumya Ray, Mark Craven: Supervised versus multiple instance learning: an empirical comparison. ICML 2005: 697-704 |
| c7 | | Soumya Ray, David Page: Generalized skewing for functions with continuous and nominal attributes. ICML 2005: 705-712 |
| c6 | | Bernard Rosell, Lisa Hellerstein, Soumya Ray, David Page: Why skewing works: learning difficult Boolean functions with greedy tree learners. ICML 2005: 728-735 |
| 2004 | ||
| c5 | | |
| 2003 | ||
| c4 |  | Marios Skounakis, Mark Craven, Soumya Ray: Hierarchical Hidden Markov Models for Information Extraction. IJCAI 2003: 427-433 |
| c3 | | David Page, Soumya Ray: Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction. IJCAI 2003: 601-612 |
| 2001 | ||
| c2 | | |
| c1 | | Soumya Ray, Mark Craven: Representing Sentence Structure in Hidden Markov Models for Information Extraction. IJCAI 2001: 1273-1279 |
Colors in the list of coauthors
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