| 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 | 597 | 2004 |
| Thin Juinction Tree Filters for Simultaneous Localization and Mapping MA Paskin Computer Science Division, University of California, 2002 | 331 | 2002 |
| Linear-time inference in hierarchical HMMs KP Murphy, M Paskin Advances in neural information processing systems 14, 2001 | 295 | 2001 |
| 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 | 222 | 2005 |
| Distributed localization of networked cameras S Funiak, C Guestrin, M Paskin, R Sukthankar Proceedings of the 5th international conference on Information processing in …, 2006 | 196 | 2006 |
| Robust probabilistic inference in distributed systems M Paskin, CE Guestrin arXiv preprint arXiv:1207.4174, 2012 | 125 | 2012 |
| Grammatical bigrams M Paskin Advances in Neural Information Processing Systems 14, 2001 | 65 | 2001 |
| 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 | 54 | 2005 |
| PREDATOR: An OR-DBMS with enhanced data types P Seshadri, M Paskin ACM SIGMOD Record 26 (2), 568-571, 1997 | 54 | 1997 |
| Robotic mapping with polygonal random fields M Paskin, S Thrun arXiv preprint arXiv:1207.1399, 2012 | 38 | 2012 |
| Cubic-time parsing and learning algorithms for grammatical bigram models MA Paskin Computer Science Division, University of California, 2001 | 31 | 2001 |
| Distributed inference in dynamical systems S Funiak, C Guestrin, R Sukthankar, M Paskin Advances in Neural Information Processing Systems 19, 2006 | 27 | 2006 |
| Maximum entropy probabilistic logic MA Paskin Computer Science Division, University of California, 2002 | 26 | 2002 |
| Junction tree algorithms for solving sparse linear systems MA Paskin, GD Lawrence Computer Science Division, University of California, 2003 | 20 | 2003 |
| Exploiting locality in probabilistic inference MA Paskin University of California, Berkeley, 2004 | 19 | 2004 |
| Sample propagation M Paskin Advances in Neural Information Processing Systems 16, 2003 | 18 | 2003 |
| A robust architecture for inference in distributed sensor networks M Paskin International Conference on Information Processing in Sensor Networks (IPSN …, 2005 | 9 | 2005 |
| Cubic-time Parsing and Learning Algorithms for Grammatical Bigram MA Paskin University of California at Berkeley, 2001 | 3 | 2001 |
| Robust probabilistic filtering in distributed systems S Funiak, C Guestrin, M Paskin, R Sukthankar Technical Report CMU-CALD-05-111, Carnegie Mellon Univ, 2005 | 2 | 2005 |
| Distributed regression C Guestrin, P Bodik, R Thibaux, M Paskin, S Madden Proceedings of the 3rd international symposium on Information processing in …, 2004 | 2 | 2004 |
