Dmitry Pavlov

Dmitry Pavlov, Heikki Mannila, Padhraic Smyth: Probabilistic Models for Query Approximation with Large Sparse Binary Datasets. CoRR abs/1301.3884 (2013)

Patrick Mullen, Alexander McKenzie, Dmitry Pavlov, L. Durant, Yiying Tong, Eva Kanso, Jerrold E. Marsden, Mathieu Desbrun: Discrete Lie Advection of Differential Forms. Foundations of Computational Mathematics 11(2): 131-149 (2011)

Noel M. O'Boyle, Rajarshi Guha, Egon L. Willighagen, Sam E. Adams, Jonathan Alvarsson, Jean-Claude Bradley, Igor V. Filippov, Robert M. Hanson, Marcus D. Hanwell, Geoffrey R. Hutchison, Craig A. James, Nina Jeliazkova, Andrew S. I. D. Lang, Karol M. Langner, David C. Lonie, Daniel M. Lowe, Jérôme Pansanel, Dmitry Pavlov, Ola Spjuth, Christoph Steinbeck, Adam L. Tenderholt, Kevin J. Theisen, Peter Murray-Rust: Open Data, Open Source and Open Standards in chemistry: The Blue Obelisk five years on. J. Cheminformatics 3: 37 (2011)

Andrey Gulin, Igor Kuralenok, Dmitry Pavlov: Winning The Transfer Learning Track of Yahoo!'s Learning To Rank Challenge with YetiRank. Journal of Machine Learning Research - Proceedings Track 14: 63-76 (2011)

Ye Chen, Dmitry Pavlov, John F. Canny: Behavioral Targeting: The Art of Scaling Up Simple Algorithms. TKDD 4(4): 17 (2010)

Patrick Mullen, Keenan Crane, Dmitry Pavlov, Yiying Tong, Mathieu Desbrun: Energy-preserving integrators for fluid animation. ACM Trans. Graph. 28(3) (2009)

Ye Chen, Dmitry Pavlov, Pavel Berkhin, Aparna Seetharaman, Albert Meltzer: Practical lessons of data mining at Yahoo! CIKM 2009: 1047-1056

Ye Chen, Dmitry Pavlov, John F. Canny: Large-scale behavioral targeting. KDD 2009: 209-218

Ye Chen, Michael Kapralov, Dmitry Pavlov, John Canny: Factor Modeling for Advertisement Targeting. NIPS 2009: 324-332

Qi Su, Dmitry Pavlov, Jyh-Herng Chow, Wendell C. Baker: Internet-scale collection of human-reviewed data. WWW 2007: 231-240

Dmitry Pavlov: Manipulator Path Planning in 3-Dimensional Space. CSR 2006: 505-513

Dmitry Pavlov, Eren Manavoglu, David M. Pennock, C. Lee Giles: Collaborative Filtering with Maximum Entropy. IEEE Intelligent Systems 19(6): 40-48 (2004)

Dmitry Pavlov, Ramnath Balasubramanyan, Byron Dom, Shyam Kapur, Jignashu Parikh: Document preprocessing for naive Bayes classification and clustering with mixture of multinomials. KDD 2004: 829-834

Dmitry Pavlov, Heikki Mannila, Padhraic Smyth: Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data. IEEE Trans. Knowl. Data Eng. 15(6): 1409-1421 (2003)

Eren Manavoglu, Dmitry Pavlov, C. Lee Giles: Probabilistic User Behavior Models. ICDM 2003: 203-210

Dmitry Pavlov: Sequence Modeling with Mixtures of Conditional Maximum Entropy Distributions. ICDM 2003: 251-258

Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar: Mixtures of Conditional Maximum Entropy Models. ICML 2003: 584-591

Dmitry Pavlov, Padhraic Smyth: Approximate Query Answering by Model Averaging. SDM 2003

Dmitry Pavlov, David M. Pennock: A Maximum Entropy Approach to Collaborative Filtering in Dynamic, Sparse, High-Dimensional Domains. NIPS 2002: 1441-1448

Dmitry Pavlov, Padhraic Smyth: Probabilistic query models for transaction data. KDD 2001: 164-173

Dmitry Pavlov, Jianchang Mao, Byron Dom: Scaling-Up Support Vector Machines Using Boosting Algorithm. ICPR 2000: 2219-2222

Dmitry Pavlov, Darya Chudova, Padhraic Smyth: Towards scalable support vector machines using squashing. KDD 2000: 295-299

Dmitry Pavlov, Heikki Mannila, Padhraic Smyth: Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets. UAI 2000: 465-472

Heikki Mannila, Dmitry Pavlov, Padhraic Smyth: Prediction with Local Patterns using Cross-Entropy. KDD 1999: 357-361