| 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 | 555 | 2004 |
| Thin junction tree filters for simultaneous localization and mapping MA Paskin in Int. Joint Conf. on Artificial Intelligence, 2003 | 314 | 2003 |
| Linear-time inference in hierarchical HMMs KP Murphy, MA Paskin Advances in neural information processing systems, 833-840, 2002 | 278 | 2002 |
| 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 | 218 | 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 | 189 | 2006 |
| Robust probabilistic inference in distributed systems M Paskin, CE Guestrin arXiv preprint arXiv:1207.4174, 2012 | 123 | 2012 |
| Grammatical bigrams MA Paskin Advances in neural information processing systems, 91-97, 2002 | 59 | 2002 |
| PREDATOR: An OR-DBMS with enhanced data types P Seshadri, M Paskin ACM SIGMOD Record 26 (2), 568-571, 1997 | 51 | 1997 |
| 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 | 44 | 2005 |
| Robotic mapping with polygonal random fields M Paskin, S Thrun arXiv preprint arXiv:1207.1399, 2012 | 32 | 2012 |
| Cubic-time parsing and learning algorithms for grammatical bigram models MA Paskin Computer Science Division, University of California, 2001 | 28 | 2001 |
| Distributed inference in dynamical systems S Funiak, C Guestrin, R Sukthankar, MA Paskin Advances in Neural Information Processing Systems, 433-440, 2007 | 26 | 2007 |
| Maximum entropy probabilistic logic MA Paskin Computer Science Division, University of California, 2002 | 24 | 2002 |
| Sample propagation MA Paskin Advances in Neural Information Processing Systems, 425-432, 2004 | 20 | 2004 |
| 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 |
| A robust architecture for inference in distributed sensor networks M Paskin International Conference on Information Processing in Sensor Networks (IPSN …, 2005 | 9 | 2005 |
| University of California at Berkeley MA Paskin, MEP Logics Berkeley, CA, 2001 | 5 | 2001 |
| Thin Junction Tree Filtering for Simultaneous Localization and Mapping MA Paskin University of California at Berkeley, 2002 | 4 | 2002 |
| Robust probabilistic filtering in distributed systems S Funiak, C Guestrin, M Paskin, R Sukthankar Technical Report CMU-CALD-05-111, Carnegie Mellon Univ, 2005 | 3 | 2005 |
