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Mark Paskin
Mark Paskin
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Title
Cited by
Cited by
Year
Distributed regression: an efficient framework for modeling sensor network data
C Guestrin, P Bodik, R Thibaux, M Paskin, S Madden
Proceedings of the 3rd international symposium on Information processing in …, 2004
6082004
Thin Juinction Tree Filters for Simultaneous Localization and Mapping
MA Paskin
Computer Science Division, University of California, 2002
3342002
Linear-time inference in hierarchical HMMs
KP Murphy, M Paskin
Advances in neural information processing systems 14, 2001
2902001
A robust architecture for distributed inference in sensor networks
M Paskin, C Guestrin, J McFadden
IPSN 2005. Fourth International Symposium on Information Processing in …, 2005
2242005
Distributed localization of networked cameras
S Funiak, C Guestrin, M Paskin, R Sukthankar
Proceedings of the 5th international conference on Information processing in …, 2006
1952006
Robust probabilistic inference in distributed systems
M Paskin, CE Guestrin
arXiv preprint arXiv:1207.4174, 2012
1292012
Grammatical bigrams
M Paskin
Advances in Neural Information Processing Systems 14, 2001
672001
Analyzing, optimizing and rewriting queries using matching and compensation between query and automatic summary tables
RJ Cochrane, G Lapis, TY Leung, MA Paskin, MH Pirahesh, Y Sun, ...
US Patent 6,847,962, 2005
572005
PREDATOR: An OR-DBMS with enhanced data types
P Seshadri, M Paskin
ACM SIGMOD Record 26 (2), 568-571, 1997
561997
Robotic mapping with polygonal random fields
M Paskin, S Thrun
arXiv preprint arXiv:1207.1399, 2012
392012
Intel lab data, 2004
S Madden, P Bodik, W Hong, C Guestrin, M Paskin, R Thibaux
362019
Cubic-time parsing and learning algorithms for grammatical bigram models
MA Paskin
Computer Science Division, University of California, 2001
332001
Distributed inference in dynamical systems
S Funiak, C Guestrin, R Sukthankar, M Paskin
Advances in Neural Information Processing Systems 19, 2006
272006
Maximum entropy probabilistic logic
MA Paskin
Computer Science Division, University of California, 2002
252002
Junction tree algorithms for solving sparse linear systems
MA Paskin, GD Lawrence
Computer Science Division, University of California, 2003
202003
Exploiting locality in probabilistic inference
MA Paskin
University of California, Berkeley, 2004
192004
Sample propagation
M Paskin
Advances in Neural Information Processing Systems 16, 2003
182003
A robust architecture for inference in distributed sensor networks
M Paskin
International Conference on Information Processing in Sensor Networks (IPSN …, 2005
92005
Cubic-time Parsing and Learning Algorithms for Grammatical Bigram
MA Paskin
University of California at Berkeley, 2001
32001
Robust probabilistic filtering in distributed systems
S Funiak, C Guestrin, M Paskin, R Sukthankar
Technical Report CMU-CALD-05-111, Carnegie Mellon Univ, 2005
22005
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