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Note: Links lead to the DBLP on the Web. Pedro Domingos 45 AnHai Doan , Pedro Domingos, Alon Y. Halevy : Learning to Match the Schemas of Data Sources: A Multistrategy Approach. Machine Learning 50 (3): 279-301 (2003) 44 Jayant Madhavan , Philip A. Bernstein , Pedro Domingos, Alon Y. Halevy : Representing and Reasoning about Mappings between Domain Models. AAAI/IAAI 2002 : 80-86 43 Corin R. Anderson , Pedro Domingos, Daniel S. Weld : Relational Markov models and their application to adaptive web navigation. KDD 2002 : 143-152 42 Geoff Hulten , Pedro Domingos: Mining complex models from arbitrarily large databases in constant time. KDD 2002 : 525-531 41 Matt Richardson , Pedro Domingos: Mining knowledge-sharing sites for viral marketing. KDD 2002 : 61-70 40 AnHai Doan , Jayant Madhavan , Pedro Domingos, Alon Y. Halevy : Learning to map between ontologies on the semantic web. WWW 2002 : 662-673 39 Pedro Domingos: When and How to Subsample: Report on the KDD-2001 Panel. SIGKDD Explorations 3 (2): 74-75 (2002) 38 Pedro Domingos, Geoff Hulten : Catching up with the Data: Research Issues in Mining Data Streams. DMKD 2001 37 Pedro Domingos, Geoff Hulten : A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering. ICML 2001 : 106-113 36 Corin R. Anderson , Pedro Domingos, Daniel S. Weld : Adaptive Web Navigation for Wireless Devices. IJCAI 2001 : 879-884 35 Steven A. Wolfman , Tessa A. Lau , Pedro Domingos, Daniel S. Weld : Mixed initiative interfaces for learning tasks: SMARTedit talks back. Intelligent User Interfaces 2001 : 167-174 34 Pedro Domingos, Matt Richardson : Mining the network value of customers. KDD 2001 : 57-66 33 Geoff Hulten , Laurie Spencer , Pedro Domingos: Mining time-changing data streams. KDD 2001 : 97-106 32 Matt Richardson , Pedro Domingos: The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank. NIPS 2001 : 1441-1448 31 Pedro Domingos, Geoff Hulten : Learning from Infinite Data in Finite Time. NIPS 2001 : 673-680 30 AnHai Doan , Pedro Domingos, Alon Y. Halevy : Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach. SIGMOD Conference 2001 29 Corin R. Anderson , Pedro Domingos, Daniel S. Weld : Personalizing Web Sites for Mobile Users. WWW 2001 : 565-575 28 Pedro Domingos: A Unified Bias-Variance Decomposition for Zero-One and Squared Loss. AAAI/IAAI 2000 : 564-569 27 Pedro Domingos: Beyond Occam's Razor: Process-Oriented Evaluation. ECML 2000 : 3 26 Pedro Domingos: Bayesian Averaging of Classifiers and the Overfitting Problem. ICML 2000 : 223-230 25 Pedro Domingos: A Unifeid Bias-Variance Decomposition and its Applications. ICML 2000 : 231-238 24 Tessa A. Lau , Pedro Domingos, Daniel S. Weld : Version Space Algebra and its Application to Programming by Demonstration. ICML 2000 : 527-534 23 Pedro Domingos, Geoff Hulten : Mining high-speed data streams. KDD 2000 : 71-80 22 AnHai Doan , Pedro Domingos, Alon Y. Levy : Learning Source Description for Data Integration. WebDB (Informal Proceedings) 2000 : 81-86 21 Pedro Domingos: Process-Oriented Estimation of Generalization Error. IJCAI 1999 : 714-721 20 Pedro Domingos: MetaCost: A General Method for Making Classifiers Cost-Sensitive. KDD 1999 : 155-164 19 Pedro Domingos: The Role of Occam's Razor in Knowledge Discovery. Data Mining and Knowledge Discovery 3 (4): 409-425 (1999) 18 Pedro Domingos: A Process-Oriented Heuristic for Model Selection. ICML 1998 : 127-135 17 Pedro Domingos: Occam's Two Razors: The Sharp and the Blunt. KDD 1998 : 37-43 16 Pedro Domingos: A Comparison of Model Averaging Methods in Foreign Exchange Prediction. AAAI/IAAI 1997 : 828 15 Pedro Domingos: Learning Multiple Models without Sacrificing Comprehensibility. AAAI/IAAI 1997 : 829 14 Pedro Domingos: Knowledge Acquisition form Examples Vis Multiple Models. ICML 1997 : 98-106 13 Pedro Domingos: Why Does Bagging Work? A Bayesian Account and its Implications. KDD 1997 : 155-158 12 Pedro Domingos: Control-Sensitive Feature Selection for Lazy Learners. Artificial Intelligence Review 11 (1-5): 227-253 (1997) 11 Pedro Domingos, Michael J. Pazzani : On the Optimality of the Simple Bayesian Classifier under Zero-One Loss. Machine Learning 29 (2-3): 103-130 (1997) 10 Pedro Domingos: Towards a Unified Approach to Concept Learning. AAAI/IAAI, Vol. 2 1996 : 1361 9 Pedro Domingos: Fast Discovery of Simple Rules. AAAI/IAAI, Vol. 2 1996 : 1384 8 Pedro Domingos: Multistrategy Learning: A Case Study. AAAI/IAAI, Vol. 2 1996 : 1385 7 Pedro Domingos, Michael J. Pazzani : Simple Bayesian Classifiers Do Not Assume Independence. AAAI/IAAI, Vol. 2 1996 : 1386 6 Pedro Domingos, Michael J. Pazzani : Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier. ICML 1996 : 105-112 5 Pedro Domingos: Efficient Specific-to-General Rule Induction. KDD 1996 : 319-322 4 Pedro Domingos: Linear-Time Rule Induction. KDD 1996 : 96-101 3 Pedro Domingos: Unifying Instance-Based and Rule-Based Induction. Machine Learning 24 (2): 141-168 (1996) 2 Pedro Domingos: Rule Induction and Instance-Based Learning: A Unified Approach. IJCAI 1995 : 1226-1232 1 Pedro Domingos: The RISE System: Conquering without Separating. ICTAI 1994 : 704-707  DiSC'03 © 2003 Association for Computing Machinery |
