Papers (co)authored by Dr. Leon Peshkin & citations

Several papers not listed here, are available from PubMed query.

Title (points to HTML) Published Date Co-authors Download Misc.
A method and server for predicting damaging missense mutations. 1 April 2010; 7:248 Nature Methods 2010 Ivan A Adzhubei, Steffen Schmidt, Vasily E Ramensky, Anna Gerasimova, Peer Bork, Alexey S Kondrashov & Shamil R Sunyaev Abstract PMID: 200308
Effects of temperature on gene expression in embryos of the coral Montastraea faveolata. Dec 23;10:627 BMC Genomics 2009 Voolstra CR, Schnetzer J, Randall CJ, Szmant AM, Medina M Abstract PMID: 20030803
Collaborative text-annotation resource for disease-centered relation extraction from biomedical text. J Biomed Inform. 2009 Cano C, Monaghan T, Blanco A, Wall DP Abstract (txt)
paper: PDF .		 PMID: 19232400
Structure induction by lossless graph compression In Proc. of Data Compression Conf. DCC 2007 Abstract (txt)
paper: PDF.		 Published by the IEEE Computer Society Press
Is the Turing Test Good Enough? The Fallacy of Resource-unbounded Intelligence In Proc. of Intl. Conf. on AI IJCAI 2007 Virginia Savova Abstract (txt)
paper: PDF.
Dependency Parsing with Dynamic Bayesian Network In Proc. of Ntnl. Conf. on AI AAAI 2005 Virginia Savova Abstract (txt)
paper: PDF.
Bayesian Information Extraction Network In Proc. of Intl. Conf. on AI IJCAI 2003 Avi Pfeffer Abstract (txt)
paper: PDF.
Data
Part-of-Speech Tagging with Minimal Lexicalization (PDF) Invited chapter in "Current Issues in Linguistic Theory (CILT) 2004 Virginia Savova Abstract (txt)
paper: PDF.		 Publisher: John Benjamins, Amsterdam/Philadelphia
Context-based policy search:
transfer of experience across problems (PDF)		 ICML: Development of Representations 2002 E. de Jong Abstract (txt)
paper: (5p) PS
Bayesian Network for Syntactic
Categorization of Novel Words (PDF)		 HLT-NAACL (American Association for Computational Linguistics) 2003 Avi Pfeffer
V. Savova)		 Abstract (txt)
paper: PDF.
Factored Particles for Scalable Monitoring (PS) UAI: Proc. of the 18th Conf. on Uncertainty in Artificial Intelligence 2002 Avi Pfeffer
B. Ng		 Abstract (txt)
paper: PDF, PS.		 30+ cites
Learning from scarce experience Machine Learning: Proc. of the 19th Intnl. Conf. ICML 2002 Christian Shelton Abstract (txt)
PDF, PS.
Sample complexity bounds for policy evaluation in Markov environments COLT: The 14th Annual Conf. on Computational Learning Theory, Chapter in Lecture Notes on artificial Intelligence. 2001 Sayan Mukherjee Abstract
paper: PS or PDF. 		Copyright © 2001 Springer (Corrected thanks to Luis Ortiz)
Reinforcement Learning by Policy Search Ph.D. dissertation 2002 supervised by
Leslie Kaelbling		 Abstract (PDF) and MIT Tech Rep: PS, PDF.
Exploration in gradient-based reinforcement learning (PS) MIT AI Memo 2001-003, (Technical Report 1713) 2001 N. Meuleau, K. Kim PS (20 pages = 5Mb) or PDF (500Kb).
Learning to Cooperate via Policy Search In Proc. of the 16th Conf. on Uncertainty in Artificial Intelligence, p. 489 UAI. 2000 N. Meuleau,
K. Kim
and L. Kaelbling		 Abstract PDF, PS 8 pages, Electronic Proc.. 180 citations
(Corrected thanks to Franjo Ivancic)
Reinforcement Learning for Adaptive Routing In Proc. of the Intnl. Joint Conf. on Neural Networks, IJCNN 2002 Virginia Savova PDF.
Segmentation of Yeast DNA Using Hidden Markov Models Volume 15, Issue 12, pp. 980-986, Bioinformatics, Oxford University Press. 1999 Mikhail Gelfand Abstract
paper: PS, PDF-print:95K, PDF-screen:260K, 		[see errata]
PMID:10745987
Learning Finite-State Controllers for Partially Observable Environments, In Proc. of the 15th Conf. on Uncertainty in Artificial Intelligence, p 427 UAI 1999 N. Meuleau, K. Kim, L. Kaelbling PS(9p) 115 citations
Learning Policies with External Memory (PS) Machine Learning: Proc. of the Sixteenth Intnl. Conf., p. 307 ICML: 1999 N. Meuleau, L. Kaelbling Abstract, PS (7p), Slides, 70 citations
In Japanese pages: 1, 2, 3, 4, 5, 6.
Solving Very Large Weakly Coupled Markov Decision Processes (PS) AAAI (American Association for Artificial Intelligence) 1998 N. Meuleau, K. Kim, L. Kaelbling, T. Dean, C. Boutilier Abstract or paper (174K). 30 citations
Learning a representation of molecular sructure from data? Radclife Institute for Advanced
Study Conf. "Computational Biology: Functions, Pathways, Phylogenies, and Populations" 		May 2003 n/a Abstract
Intelligent Summarization of Text Documents (PDF) 7th ICCNS, Boston, MA. May 2003 Aaswath Raman Abstract in PDF, PS poster
On Biological Plausibility of Policy Search 6th ICCNS, Boston, MA. May 2002 Virginia Savova Abstract in PDF, DOC
refferences: (PDF,PS).		 poster
How to Compare Common and Rare Words In Proc. of the 5th Intnl. Conf. on Cognitive and Neural Systems May 2001 Virginia Savova Abstract in PDF, DOC
refferences: (PDF,PS).		poster
Statistical Analysis of Brain Imaging Data in Proc. 12th Israeli
Symposium on AI, CV and NN.		 Feb 1996 n/a Abstract: DVI, PS
Distance Measure on Shapes using DORFs in Proc. CVVC'94 Japan-Israel Workshop on
Computer Vision and Visual Communication, Technion, Israel		 Oct 1994 M. Kovalenko, Shimon Ullman paper: PS
Statistical Analysis of Brain Imaging Data MSc thesis,
Weizmann Institute of Science		 1995
Shimon Ullman		 PDF, PS

Misc notes:

List of my (15) co-authors:
Tom Dean, Leslie Kaelbling, Craig Boutilier, Mikhail Gelfand, Shimon Ullman,
Nicolas Meuleau, Christian Shelton, Sayan Mukherjee, Edwin deJong, Brenda Ng,
Virginia Savova, Kee-Eung Kim, Avi Pfeffer, Max Kovalenko, Aaswath Raman

I still have not figured out my Erdös number. My estimate is [3,5] somehow via {D. Mumford, F. Preparata}.

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