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Note: Links lead to the DBLP on the Web. Sholom M. Weiss 38 Sholom M. Weiss, Naval K. Verma : A system for real-time competitive market intelligence. KDD 2002 : 360-365 37 Fred Damerau , Tong Zhang , Sholom M. Weiss, Nitin Indurkhya : Experiments in high-dimensional text categorization. SIGIR 2002 : 357-358 36 Sholom M. Weiss, Chidanand Apté : Automated generation of model cases for help-desk applications. IBM Systems Journal 41 (3): 421-427 (2002) 35 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) 34 Nitin Indurkhya , Sholom M. Weiss: Solving regression problems with rule-based ensemble classifiers. KDD 2001 : 287-292 33 Nitin Indurkhya , Sholom M. Weiss: Rule-Based Ensemble Solutions for Regression. MLDM 2001 : 62-72 32 Sholom M. Weiss, Nitin Indurkhya : Lightweight Collaborative Filtering Method for Binary-Encoded Data. PKDD 2001 : 484-491 31 Se June Hong , Sholom M. Weiss: Advances in predictive models for data mining. Pattern Recognition Letters 22 (1): 55-61 (2001) 30 Ricardo Vilalta , Chidanand Apté , Sholom M. Weiss: Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection. DSOM 2000 : 37-46 29 Sholom M. Weiss, Nitin Indurkhya : Decision-Rule Solutions for Data Mining with Missing Values. IBERAMIA-SBIA 2000 : 1-10 28 Sholom M. Weiss, Nitin Indurkhya : Lightweight Rule Induction. ICML 2000 : 1135-1142 27 Sholom M. Weiss, Brian F. White , Chidanand Apté : Leightweight Document Clustering. PKDD 2000 : 665-672 26 Sholom M. Weiss, Brian F. White , Chidanand Apté , Fred Damerau : Lightweight Document Matching for Help-Desk Applications. IEEE Intelligent Systems 15 (2): 57-61 (2000) 25 Se June Hong , Sholom M. Weiss: Advanced in Predictive Data Mining Methods. MLDM 1999 : 13-20 24 Sholom M. Weiss, Nitin Indurkhya : Selecting the Right-Size Model for Prediction. Applied Intelligence 6 (4): 261-273 (1996) 23 Nitin Indurkhya , Sholom M. Weiss: Using Case Data to Improve on Rule-based Function Approximation. ICCBR 1995 : 217-228 22 V. Seshadri , Raguram Sasisekharan , Sholom M. Weiss: Feature Extraction for Massive Data Mining. KDD 1995 : 258-262 21 Sholom M. Weiss, Nitin Indurkhya : Rule-based Machine Learning Methods for Functional Prediction. JAIR 3 : 383-403 (1995) 20 Sholom M. Weiss, Nitin Indurkhya : Decision Tree Pruning: Biased or Optimal? AAAI 1994 : 626-632 19 Sholom M. Weiss, Nitin Indurkhya : Small Sample Decision tree Pruning. ICML 1994 : 335-342 18 R. Sasisekharan , V. Seshadri , Sholom M. Weiss: Proactive Network Maintenance Using Machine Learning. KDD Workshop 1994 : 453-462 17 Chidanand Apté , Fred Damerau , Sholom M. Weiss: Towards Language Independent Automated Learning of Text Categorisation Models. SIGIR 1994 : 23-30 16 Chidanand Apté , Fred Damerau , Sholom M. Weiss: Automated Learning of Decision Rules for Text Categorization. TOIS 12 (3): 233-251 (1994) 15 Sholom M. Weiss, Nitin Indurkhya : Rule-Based Regression. IJCAI 1993 : 1072-1078 14 Sholom M. Weiss, Dawn M. Cohen , Nitin Indurkhya : Transmembrane Segment Prediction from Protein Sequence Data. ISMB 1993 : 420-428 13 Sholom M. Weiss, Nitin Indurkhya : Reduced Complexity Rule Induction. IJCAI 1991 : 678-684 12 Sholom M. Weiss: Small Sample Error Rate Estimation for k-NN Classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence 13 (3): 285-289 (1991) 11 Sholom M. Weiss, Casimir A. Kulikowski : Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems. Morgan Kaufmann 1990 10 Sholom M. Weiss, Robert S. Galen , Prasad Tadepalli : Maximizing the Predictive Value of Production Rules. Artificial Intelligence 45 (1-2): 47-71 (1990) 9 Sholom M. Weiss, Ioannis Kapouleas : An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods. IJCAI 1989 : 781-787 8 Allen Ginsberg , Sholom M. Weiss, Peter Politakis : Automatic Knowledge Base Refinement for Classification Systems. Artificial Intelligence 35 (2): 197-226 (1988) 7 Sholom M. Weiss, Robert S. Galen , Prasad Tadepalli : Optimizing the Predictive Value of Diagnostic Decision Rules. AAAI 1987 : 521-527 6 Allen Ginsberg , Sholom M. Weiss, Peter Politakis : SEEK2: A Generalized Approach to Automatic Knowledge Base Refinement. IJCAI 1985 : 367-374 5 Peter Politakis , Sholom M. Weiss: Using Empirical Analysis to Refine Expert System Knowledge Bases. Artificial Intelligence 22 (1): 23-48 (1984) 4 Sholom M. Weiss, Casimir A. Kulikowski , Chidanand Apté , Michael Uschold , Jay Patchett , Robert Brigham , Belynda Spitzer : Building Expert Systems for Controlling Complex Programs. AAAI 1982 : 322-326 3 Sholom M. Weiss, Casimir A. Kulikowski , Saul Amarel , Aran Safir : A Model-Based Method for Computer-Aided Medical Decision-Making. Artificial Intelligence 11 (1-2): 145-172 (1978) 2 Sholom M. Weiss, Casimir A. Kulikowski , Aran Safir : A Model-Based Consultation System for the Long-Term Management of Glaucoma. IJCAI 1977 : 826-832 1 C. A. Kulinowski , Sholom M. Weiss, M. Trigoboff , Aran Safir : Clinical Consultation of Disease Processes: Some A. I. Problems. AISB (ECAI) 1976 : 166-174  DiSC'03 © 2003 Association for Computing Machinery |
