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Leonid Peshkin

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2007
24EELeonid Peshkin: Structure induction by lossless graph compression. DCC 2007: 53-62
23EEVirginia Savova, Leonid Peshkin: Is the Turing Test Good Enough? The Fallacy of Resource-Unbounded Intelligence. IJCAI 2007: 545-550
22EELeonid Peshkin: Structure induction by lossless graph compression CoRR abs/cs/0703132: (2007)
21EEVirginia Savova, Leonid Peshkin: Dependency Parsing with Dynamic Bayesian Network CoRR abs/cs/0703135: (2007)
20EELeonid Peshkin, Virginia Savova: Reinforcement Learning for Adaptive Routing CoRR abs/cs/0703138: (2007)
2006
19EETodd F. DeLuca, I-Hsien Wu, Jian Pu, Thomas Monaghan, Leonid Peshkin, Saurav Singh, Dennis P. Wall: Roundup: a multi-genome repository of orthologs and evolutionary distances. Bioinformatics 22(16): 2044-2046 (2006)
2005
18 Virginia Savova, Leonid Peshkin: Dependency Parsing with Dynamic Bayesian Network. AAAI 2005: 1112-1117
2003
17EELeonid Peshkin, Avi Pfeffer, Virginia Savova: Bayesian Nets for Syntactic Categorization of Novel Words. HLT-NAACL 2003
16 Leonid Peshkin, Avi Pfeffer: Bayesian Information Extraction Network. IJCAI 2003: 421-426
15 Virginia Savova, Leonid Peshkin: Part-of-speech tagging with minimal lexicalization. RANLP 2003: 163-172
14EELeonid Peshkin, Avi Pfeffer: Bayesian Information Extraction Network CoRR cs.CL/0306039: (2003)
13EEVirginia Savova, Leonid Peshkin: Part-of-Speech Tagging with Minimal Lexicalization CoRR cs.CL/0312060: (2003)
2002
12 Leonid Peshkin, Christian R. Shelton: Learning from Scarce Experience. ICML 2002: 498-505
11 Brenda Ng, Leonid Peshkin, Avi Pfeffer: Factored Particles for Scalable Monitoring. UAI 2002: 370-377
10EELeonid Peshkin, Christian R. Shelton: Learning from Scarce Experience CoRR cs.AI/0204043: (2002)
2001
9EELeonid Peshkin, Sayan Mukherjee: Bounds on Sample Size for Policy Evaluation in Markov Environments. COLT/EuroCOLT 2001: 616-630
8EELeonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling: Learning Policies with External Memory CoRR cs.LG/0103003: (2001)
7EELeonid Peshkin, Sayan Mukherjee: Bounds on sample size for policy evaluation in Markov environments CoRR cs.LG/0105027: (2001)
6EELeonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling: Learning to Cooperate via Policy Search CoRR cs.LG/0105032: (2001)
2000
5EELeonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling: Learning to Cooperate via Policy Search. UAI 2000: 489-496
1999
4 Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling: Learning Policies with External Memory. ICML 1999: 307-314
3EENicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling: Learning Finite-State Controllers for Partially Observable Environments. UAI 1999: 427-436
2 Leonid Peshkin, Mikhail S. Gelfand: Segmentation of yeast DNA using hidden Markov models. Bioinformatics 15(12): 980-986 (1999)
1998
1 Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier: Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI 1998: 165-172

Coauthor Index

1Craig Boutilier [1]
2Todd F. DeLuca [19]
3Thomas Dean [1]
4Mikhail S. Gelfand [2]
5Milos Hauskrecht [1]
6Leslie Pack Kaelbling [1] [3] [4] [5] [6] [8]
7Kee-Eung Kim [1] [3] [5] [6]
8Nicolas Meuleau [1] [3] [4] [5] [6] [8]
9Thomas Monaghan [19]
10Sayan Mukherjee [7] [9]
11Brenda Ng [11]
12Avi Pfeffer [11] [14] [16] [17]
13Jian Pu [19]
14Virginia Savova [13] [15] [17] [18] [20] [21] [23]
15Christian R. Shelton [10] [12]
16Saurav Singh [19]
17Dennis P. Wall [19]
18I-Hsien Wu [19]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)