On the optimality of the simple Bayesian classifier under zero-one loss P Domingos, M Pazzani Machine learning 29 (2), 103-130, 1997 | 4629 | 1997 |
A few useful things to know about machine learning P Domingos Communications of the ACM 55 (10), 78-87, 2012 | 4208 | 2012 |
Markov logic networks M Richardson, P Domingos Machine learning 62, 107-136, 2006 | 3756 | 2006 |
Mining the network value of customers P Domingos, M Richardson Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 3607 | 2001 |
Mining high-speed data streams P Domingos, G Hulten Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 3090 | 2000 |
Mining time-changing data streams G Hulten, L Spencer, P Domingos Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 2438 | 2001 |
Mining knowledge-sharing sites for viral marketing M Richardson, P Domingos Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 2213 | 2002 |
Metacost: A general method for making classifiers cost-sensitive P Domingos Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999 | 2130 | 1999 |
The master algorithm: How the quest for the ultimate learning machine will remake our world P Domingos Basic Books, 2015 | 1992 | 2015 |
Learning to map between ontologies on the semantic web AH Doan, J Madhavan, P Domingos, A Halevy Proceedings of the 11th international conference on World Wide Web, 662-673, 2002 | 1484 | 2002 |
Trust management for the semantic web M Richardson, R Agrawal, P Domingos International semantic Web conference, 351-368, 2003 | 1335 | 2003 |
Adversarial classification N Dalvi, P Domingos, Mausam, S Sanghai, D Verma Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 1301 | 2004 |
Beyond independence: Conditions for the optimality of the simple bayesian classifier P Domingos, M Pazzani Proc. 13th Intl. Conf. Machine Learning, 105-112, 1996 | 1225 | 1996 |
Reconciling schemas of disparate data sources: A machine-learning approach AH Doan, P Domingos, AY Halevy Proceedings of the 2001 ACM SIGMOD international conference on Management of …, 2001 | 1169 | 2001 |
Sum-product networks: A new deep architecture H Poon, P Domingos Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2011 | 890 | 2011 |
Ontology matching: A machine learning approach AH Doan, J Madhavan, P Domingos, A Halevy Handbook on ontologies, 385-403, 2004 | 760 | 2004 |
Markov Logic P Domingos, D Lowd Markov Logic: An Interface Layer for Artificial Intelligence, 9-22, 2009 | 712 | 2009 |
Tree induction for probability-based ranking F Provost, P Domingos Machine learning 52, 199-215, 2003 | 698 | 2003 |
Learning to match ontologies on the semantic web AH Doan, J Madhavan, R Dhamankar, P Domingos, A Halevy The VLDB journal 12, 303-319, 2003 | 696 | 2003 |
The role of Occam's razor in knowledge discovery P Domingos Data mining and knowledge discovery 3, 409-425, 1999 | 670 | 1999 |