Leonid Peshkin

According to our database1, Leonid Peshkin authored at least 20 papers between 1998 and 2017.

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Timeline

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Bibliography

2017
Matroids Hitting Sets and Unsupervised Dependency Grammar Induction.
CoRR, 2017

2011
Collaborative semi-automatic annotation of the biomedical literature.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2009
Collaborative text-annotation resource for disease-centered relation extraction from biomedical text.
J. Biomed. Informatics, 2009

2007
Research Paper: Rapidly Retargetable Approaches to De-identification in Medical Records.
J. Am. Medical Informatics Assoc., 2007

Reinforcement Learning for Adaptive Routing
CoRR, 2007

Is the Turing Test Good Enough? The Fallacy of Resource-Unbounded Intelligence.
Proceedings of the IJCAI 2007, 2007

Structure induction by lossless graph compression.
Proceedings of the 2007 Data Compression Conference (DCC 2007), 2007

2006
Roundup: a multi-genome repository of orthologs and evolutionary distances.
Bioinform., 2006

2005
Dependency Parsing with Dynamic Bayesian Network.
Proceedings of the Proceedings, 2005

2003
Part-of-speech tagging with minimal lexicalization.
Proceedings of the Recent Advances in Natural Language Processing III, 2003

Bayesian Nets for Syntactic Categorization of Novel Words.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

Bayesian Information Extraction Network.
Proceedings of the IJCAI-03, 2003

2002
Factored Particles for Scalable Monitoring.
Proceedings of the UAI '02, 2002

Learning from Scarce Experience.
Proceedings of the Machine Learning, 2002

2001
Bounds on Sample Size for Policy Evaluation in Markov Environments.
Proceedings of the Computational Learning Theory, 2001

2000
Learning to Cooperate via Policy Search.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

1999
Segmentation of yeast DNA using hidden Markov models.
Bioinform., 1999

Learning Finite-State Controllers for Partially Observable Environments.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Learning Policies with External Memory.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998
Solving Very Large Weakly Coupled Markov Decision Processes.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998


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