Mark Paskin
Mark Paskin
Verified email at google.com
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
5452004
Thin junction tree filters for simultaneous localization and mapping
MA Paskin
in Int. Joint Conf. on Artificial Intelligence, 2003
3072003
Linear-time inference in hierarchical HMMs
KP Murphy, MA Paskin
Advances in neural information processing systems, 833-840, 2002
2732002
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
2142005
Distributed localization of networked cameras
S Funiak, C Guestrin, M Paskin, R Sukthankar
Proceedings of the 5th international conference on Information processing in …, 2006
1872006
Robust probabilistic inference in distributed systems
M Paskin, CE Guestrin
arXiv preprint arXiv:1207.4174, 2012
1222012
Grammatical bigrams
MA Paskin
Advances in Neural Information Processing Systems, 91-97, 2002
562002
PREDATOR: An OR-DBMS with enhanced data types
P Seshadri, M Paskin
ACM SIGMOD Record 26 (2), 568-571, 1997
511997
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
432005
Robotic mapping with polygonal random fields
M Paskin, S Thrun
arXiv preprint arXiv:1207.1399, 2012
322012
Cubic-time parsing and learning algorithms for grammatical bigram models
MA Paskin
Computer Science Division, University of California, 2001
262001
Distributed inference in dynamical systems
S Funiak, C Guestrin, R Sukthankar, MA Paskin
Advances in Neural Information Processing Systems, 433-440, 2007
252007
Maximum entropy probabilistic logic
MA Paskin
Computer Science Division, University of California, 2002
222002
Exploiting locality in probabilistic inference
MA Paskin
University of California, Berkeley, 2004
192004
Sample propagation
MA Paskin
Advances in Neural Information Processing Systems, 425-432, 2004
192004
Junction tree algorithms for solving sparse linear systems
MA Paskin, GD Lawrence
Computer Science Division, University of California, 2003
192003
A robust architecture for inference in distributed sensor networks
M Paskin
International Conference on Information Processing in Sensor Networks (IPSN …, 2005
92005
University of California at Berkeley
MA Paskin, MEP Logics
Berkeley, CA, 2001
52001
Thin Junction Tree Filtering for Simultaneous Localization and Mapping
MA Paskin
University of California at Berkeley, 2002
42002
Robust probabilistic filtering in distributed systems
S Funiak, C Guestrin, M Paskin, R Sukthankar
Technical Report CMU-CALD-05-111, Carnegie Mellon Univ, 2005
32005
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Articles 1–20