| A simple approach for finding the globally optimal Bayesian network structure T Silander, P Myllymaki arXiv preprint arXiv:1206.6875, 2012 | 504 | 2012 |
| Location estimation in wireless telecommunication networks P Myllymäki, H Tirri, P Kontkanen, J Lahtinen, T Silander, T Roos, ... US Patent 7,228,136, 2007 | 368 | 2007 |
| Identification of toxicologically predictive gene sets using cDNA microarrays RS Thomas, DR Rank, SG Penn, GM Zastrow, KR Hayes, K Pande, ... Molecular Pharmacology 60 (6), 1189-1194, 2001 | 296 | 2001 |
| B-course: A web-based tool for Bayesian and causal data analysis P Myllymäki, T Silander, H Tirri, P Uronen International Journal on Artificial Intelligence Tools 11 (03), 369-387, 2002 | 246 | 2002 |
| On sensitivity of the MAP Bayesian network structure to the equivalent sample size parameter T Silander, P Kontkanen, P Myllymaki arXiv preprint arXiv:1206.5293, 2012 | 144 | 2012 |
| Analysis of HIV-1 pol sequences using Bayesian Networks: implications for drug resistance K Deforche, T Silander, R Camacho, Z Grossman, MA Soares, ... Bioinformatics 22 (24), 2975-2979, 2006 | 93 | 2006 |
| Comparing predictive inference methods for discrete domains P Kontkanen, P Myllymäki, T Silander, H Tirri, P Grünwald Sixth International Workshop on Artificial Intelligence and Statistics, 311-318, 1997 | 80 | 1997 |
| Factorized normalized maximum likelihood criterion for learning Bayesian network structures T Silander, T Roos, P Kontkanen, P Myllymäki Proceedings of the 4th European workshop on probabilistic graphical models …, 2008 | 75 | 2008 |
| On predictive distributions and Bayesian networks P Kontkanen, P Myllymäki, T Silander, H Tirri, P Grünwald Statistics and Computing 10, 39-54, 2000 | 62 | 2000 |
| Online feature selection for model-based reinforcement learning T Nguyen, Z Li, T Silander, TY Leong International Conference on Machine Learning, 498-506, 2013 | 56 | 2013 |
| On supervised selection of Bayesian networks P Kontkanen, P Myllymaki, T Silander, H Tirri arXiv preprint arXiv:1301.6710, 2013 | 55 | 2013 |
| Learning locally minimax optimal Bayesian networks T Silander, T Roos, P Myllymäki International Journal of Approximate Reasoning 51 (5), 544-557, 2010 | 52 | 2010 |
| Bayesian network structure learning using factorized NML universal models T Roos, T Silander, P Kontkanen, P Myllymaki 2008 Information Theory and Applications Workshop, 272-276, 2008 | 48 | 2008 |
| Learning probabilistic decision graphs M Jaeger, JD Nielsen, T Silander International Journal of Approximate Reasoning 42 (1-2), 84-100, 2006 | 48 | 2006 |
| A scalable topic-based open source search engine W Buntine, J Lofstrom, J Perkio, S Perttu, V Poroshin, T Silander, H Tirri, ... IEEE/WIC/ACM International Conference on Web Intelligence (WI'04), 228-234, 2004 | 48 | 2004 |
| Bayesian network analysis of resistance pathways against HIV-1 protease inhibitors K Deforche, R Camacho, Z Grossman, T Silander, MA Soares, Y Moreau, ... Infection, genetics and evolution 7 (3), 382-390, 2007 | 46 | 2007 |
| A dynamic programming algorithm for learning chain event graphs T Silander, TY Leong Discovery Science: 16th International Conference, DS 2013, Singapore …, 2013 | 40 | 2013 |
| Quotient normalized maximum likelihood criterion for learning Bayesian network structures T Silander, J Leppä-Aho, E Jääsaari, T Roos International conference on artificial intelligence and statistics, 948-957, 2018 | 39 | 2018 |
| BAYDA: Software for Bayesian Classification and Feature Selection. P Kontkanen, P Myllymäki, T Silander, H Tirri KDD, 254-258, 1998 | 38 | 1998 |
| Contextual memory bandit for proactive dialogs J Perez, T Silander US Patent 10,635,707, 2020 | 36 | 2020 |
