| Bayesian network classifiers N Friedman, D Geiger, M Goldszmidt Machine learning 29, 131-163, 1997 | 7397 | 1997 |
| Context-specific independence in Bayesian networks C Boutilier, N Friedman, M Goldszmidt, D Koller arXiv preprint arXiv:1302.3562, 2013 | 1022 | 2013 |
| Learning Bayesian networks with local structure N Friedman, M Goldszmidt Learning in graphical models, 421-459, 1998 | 749 | 1998 |
| Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control. I Cohen, JS Chase, M Goldszmidt, T Kelly, J Symons OSDI 4, 16-16, 2004 | 687 | 2004 |
| Stochastic dynamic programming with factored representations C Boutilier, R Dearden, M Goldszmidt Artificial intelligence 121 (1-2), 49-107, 2000 | 636 | 2000 |
| Exploiting structure in policy construction C Boutilier, R Dearden, M Goldszmidt IJCAI 14, 1104-1113, 1995 | 582 | 1995 |
| Data analysis with Bayesian networks: A bootstrap approach N Friedman, M Goldszmidt, A Wyner arXiv preprint arXiv:1301.6695, 2013 | 466 | 2013 |
| Qualitative probabilities for default reasoning, belief revision, and causal modeling M Goldszmidt, J Pearl Artificial Intelligence 84 (1-2), 57-112, 1996 | 446 | 1996 |
| Capturing, indexing, clustering, and retrieving system history I Cohen, S Zhang, M Goldszmidt, J Symons, T Kelly, A Fox ACM SIGOPS Operating Systems Review 39 (5), 105-118, 2005 | 407 | 2005 |
| Building classifiers using Bayesian networks N Friedman, M Goldszmidt Proceedings of the national conference on artificial intelligence, 1277-1284, 1996 | 393 | 1996 |
| Discretizing continuous attributes while learning Bayesian networks N Friedman, M Goldszmidt ICML, 157-165, 1996 | 369 | 1996 |
| Fingerprinting the datacenter: automated classification of performance crises P Bodik, M Goldszmidt, A Fox, DB Woodard, H Andersen Proceedings of the 5th European conference on Computer systems, 111-124, 2010 | 347 | 2010 |
| Rank-based systems: A simple approach to belief revision, belief update, and reasoning about evidence and actions. M Goldszmidt, J Pearl KR 92, 661-672, 1992 | 272 | 1992 |
| How dynamic are IP addresses? Y Xie, F Yu, K Achan, E Gillum, M Goldszmidt, T Wobber Proceedings of the 2007 conference on Applications, technologies …, 2007 | 244 | 2007 |
| A maximum entropy approach to nonmonotonic reasoning M Goldszmidt, P Morris, J Pearl IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (3), 220-232, 1993 | 226 | 1993 |
| Sequential auctions for the allocation of resources with complementarities C Boutilier, M Goldszmidt, B Sabata IJCAI 99, 527-523, 1999 | 225 | 1999 |
| Ensembles of models for automated diagnosis of system performance problems S Zhang, I Cohen, M Goldszmidt, J Symons, A Fox 2005 International Conference on Dependable Systems and Networks (DSN'05 …, 2005 | 206 | 2005 |
| Sequential update of Bayesian network structure N Friedman, M Goldszmidt arXiv preprint arXiv:1302.1538, 2013 | 185 | 2013 |
| Predicting travel time reliability using mobile phone GPS data D Woodard, G Nogin, P Koch, D Racz, M Goldszmidt, E Horvitz Transportation Research Part C: Emerging Technologies 75, 30-44, 2017 | 182 | 2017 |
| Properties and benefits of calibrated classifiers I Cohen, M Goldszmidt European conference on principles of data mining and knowledge discovery …, 2004 | 147 | 2004 |