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
5772004
Thin junction tree filters for simultaneous localization and mapping
MA Paskin
in Int. Joint Conf. on Artificial Intelligence, 2003
3252003
Linear-time inference in hierarchical HMMs
KP Murphy, MA Paskin
Advances in neural information processing systems 2, 833-840, 2002
2852002
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
2232005
Distributed localization of networked cameras
S Funiak, C Guestrin, M Paskin, R Sukthankar
Proceedings of the 5th international conference on Information processing in …, 2006
1912006
Robust probabilistic inference in distributed systems
M Paskin, CE Guestrin
arXiv preprint arXiv:1207.4174, 2012
1262012
Grammatical bigrams
MA Paskin
Advances in neural information processing systems 1, 91-98, 2002
632002
PREDATOR: An OR-DBMS with enhanced data types
P Seshadri, M Paskin
ACM SIGMOD Record 26 (2), 568-571, 1997
541997
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
482005
Robotic mapping with polygonal random fields
M Paskin, S Thrun
arXiv preprint arXiv:1207.1399, 2012
362012
Cubic-time parsing and learning algorithms for grammatical bigram models
MA Paskin
Computer Science Division, University of California, 2001
312001
Distributed inference in dynamical systems
SFC Guestrin, M Paskin, R Sukthankar
Advances in Neural Information Processing Systems 19: Proceedings of the …, 2007
272007
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
222003
Sample propagation
M Paskin
Advances in Neural Information Processing Systems 16, 425-432, 2003
212003
Exploiting locality in probabilistic inference
MA Paskin
University of California, Berkeley, 2004
192004
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
Decision tree branch prediction
M Paskin, N Isailovic
Technical report for graduate computer architecture, CS Dept, University of …, 1999
11999
The system can't perform the operation now. Try again later.
Articles 1–20