Feature Selection via Mathematical Programming (1997)

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by P.S. Bradley , O. L. Mangasarian , W. N. Street
Citations:59 - 22 self

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5 Mathematical Programming Approaches To Machine Learning And Data Mining – Paul S. Bradley - 1998
27 Machine Learning via Polyhedral Concave Minimization – O. L. Mangasarian - 1996
7 Modeling Languages and Condor: Metacomputing for Optimization – Michael C. Ferris, Todd S. Munson - 1998
26 Mathematical Programming in Data Mining – O. L. Mangasarian - 1996
47 Mathematical Programming for Data Mining: Formulations and Challenges – P. S. Bradley, Usama M. Fayyad, O. L. Mangasarian - 1998
14 Feature Minimization within Decision Trees – Erin J. Bredensteiner, Kristin P. Bennett - 1996
146 Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey – Sreerama K. Murthy - 1997
1023 Wrappers for feature subset selection – Ron Kohavi , George H. John - 1997
9 Optimization Methods In Massive Datasets – P.S. Bradley, O. L. Mangasarian, D. R. Musicant
7 Constructing New Attributes for Decision Tree Learning – Zijian Zheng - 1996
8 Minimum-Support Solutions of Polyhedral Concave Programs – O. L. Mangasarian - 1999
9 Robust Solution Of Mixed Complementarity Problems – Steven P. Dirkse - 1994
41 Algorithms For Complementarity Problems And Generalized Equations – Stephen C. Billups - 1995
14 Hybrid Misclassification Minimization – Chunhui Chen, O. L. Mangasarian - 1995
3 Data Mining Via Mathematical Programming And Machine Learning – David R. Musicant - 2000
16 An Inductive Learning Approach to Prognostic Prediction – Nick Street, O. L. Mangasarian, W. H. Wolberg - 1995
2 Induction of Selective Bayesian Network Classifiers – Moninder Singh, Gregory M. Provan, Pat Langley - 1996
3 Learning Bayesian Networks for Solving Real-World Problems – Moninder Singh - 1998
37 Feature subset selection as search with probabilistic estimates – Ron Kohavi - 1994