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Note: Links lead to the DBLP on the Web. Ricardo Vilalta Abraham Bagherjeiran , Christoph F. Eick , Chun-Sheng Chen , Ricardo Vilalta: Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience. ICDM 2005 : 565-568 Abraham Bagherjeiran , Ricardo Vilalta, Christoph F. Eick : Content-Based Image Retrieval through a Multi-Agent Meta-Learning Framework. ICTAI 2005 : 24-28 Christoph F. Eick , Alain Rouhana , Abraham Bagherjeiran , Ricardo Vilalta: Using Clustering to Learn Distance Functions for Supervised Similarity Assessment. MLDM 2005 : 120-131 Bruce Knuteson , Ricardo Vilalta: Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation. PKDD 2005 : 552-560 Ricardo Vilalta, Christophe G. Giraud-Carrier , Pavel Brazdil : Meta-Learning. The Data Mining and Knowledge Discovery Handbook 2005 : 731-748 Ricardo Vilalta, Murali-Krishna Achari , Christoph F. Eick : Piece-Wise Model Fitting Using Local Data Patterns. ECAI 2004 : 559-563 Christoph F. Eick , Nidal M. Zeidat , Ricardo Vilalta: Using Representative-Based Clustering for Nearest Neighbor Dataset Editing. ICDM 2004 : 375-378 Ricardo Vilalta, Tom Stepinski , Murali-Krishna Achari , Francisco Ocegueda-Hernandez : A Quantification of Cluster Novelty with an Application to Martian Topography. PKDD 2004 : 434-445 Christophe G. Giraud-Carrier , Ricardo Vilalta, Pavel Brazdil : Introduction to the Special Issue on Meta-Learning. Machine Learning 54 (3): 187-193 (2004) Ricardo Vilalta, Irina Rish : A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes. ECML 2003 : 444-455 Ricardo Vilalta, Murali-Krishna Achari , Christoph F. Eick : Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers. ICDM 2003 : 673-676 Ramendra K. Sahoo , A. Oliner , Irina Rish , Manish Gupta , José E. Moreira , Sheng Ma , Ricardo Vilalta, Anand Sivasubramaniam : Critical event prediction for proactive management in large-scale computer clusters. KDD 2003 : 426-435 Ricardo Vilalta, Sheng Ma : Predicting Rare Events In Temporal Domains. ICDM 2002 : 474-481 Ricardo Vilalta, Youssef Drissi : A Characterization of Difficult Problems in Classification. ICMLA 2002 : 133-138 Carlotta Domeniconi , Chang-Shing Perng , Ricardo Vilalta, Sheng Ma : A Classification Approach for Prediction of Target Events in Temporal Sequences. PKDD 2002 : 125-137 Ricardo Vilalta, Youssef Drissi : A Perspective View and Survey of Meta-Learning. Artif. Intell. Rev. 18 (2): 77-95 (2002) Ricardo Vilalta, Chidanand Apté , Joseph L. Hellerstein , Sheng Ma , Sholom M. Weiss : Predictive algorithms in the management of computer systems. IBM Systems Journal 41 (3): 461-474 (2002) Ricardo Vilalta, Mark Brodie , Daniel Oblinger , Irina Rish : A Unified Framework for Evaluation Metrics in Classification Using Decision Trees. ECML 2001 : 503-514 Ricardo Vilalta, Chidanand Apté , Sholom M. Weiss : Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection. DSOM 2000 : 37-46 Ricardo Vilalta, Daniel Oblinger : A Quantification of Distance Bias Between Evaluation Metrics In Classification. ICML 2000 : 1087-1094 Ricardo Vilalta, Gunnar Blix , Larry A. Rendell : Global Data Analysis and the Fragmentation Problem in Decision Tree Induction. ECML 1997 : 312-326 Ricardo Vilalta, Larry A. Rendell : Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction. ICML 1997 : 394-402 1 [ 12 ] [ 15 ] [ 17 ] 2 [ 4 ] [ 6 ] 3 [ 20 ] [ 21 ] [ 22 ] 4 [ 2 ] 5 [ 14 ] [ 18 ] 6 [ 5 ] 7 [ 22 ] 8 [ 8 ] 9 [ 7 ] [ 9 ] 10 [ 12 ] [ 16 ] [ 17 ] [ 20 ] [ 21 ] [ 22 ] 11 [ 14 ] [ 18 ] 12 [ 11 ] 13 [ 6 ] 14 [ 19 ] 15 [ 6 ] [ 8 ] [ 10 ] [ 11 ] 16 [ 11 ] 17 [ 3 ] [ 5 ] 18 [ 15 ] 19 [ 11 ] 20 [ 8 ] 21 [ 1 ] [ 2 ] 22 [ 5 ] [ 11 ] [ 13 ] 23 [ 20 ] 24 [ 11 ] 25 [ 11 ] 26 [ 15 ] 27 [ 4 ] [ 6 ] 28 [ 16 ]  ©2006 Association for Computing Machinery |
