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Note: Links lead to the DBLP on the Web. Ricardo Vilalta 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 , M. 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, Larry A. Rendell : Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction. ICML 1997 : 394-402 1 [ 11 ] 2 [ 3 ] [ 5 ] 3 [ 4 ] 4 [ 7 ] 5 [ 6 ] [ 8 ] 6 [ 11 ] 7 [ 10 ] 8 [ 5 ] 9 [ 5 ] [ 7 ] [ 9 ] [ 10 ] 10 [ 10 ] 11 [ 2 ] [ 4 ] 12 [ 10 ] 13 [ 7 ] 14 [ 1 ] 15 [ 4 ] [ 10 ] [ 12 ] 16 [ 10 ] 17 [ 10 ] 18 [ 3 ] [ 5 ]  ©2004 Association for Computing Machinery |
