|
5
|
Mathematical Programming Approaches To Machine Learning And Data Mining
– Paul S. Bradley
- 1998
|
|
23
|
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
|
|
25
|
Mathematical Programming in Data Mining
– O. L. Mangasarian
- 1996
|
|
40
|
Mathematical Programming for Data Mining: Formulations and Challenges
– P. S. Bradley, Usama M. Fayyad, O. L. Mangasarian
- 1998
|
|
5
|
Minimum-Support Solutions of Polyhedral Concave Programs
– O. L. Mangasarian
- 1999
|
|
13
|
Feature Minimization within Decision Trees
– Erin J. Bredensteiner, Kristin P. Bennett
- 1996
|
|
121
|
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
– Sreerama K. Murthy
- 1997
|
|
776
|
Wrappers for feature subset selection
– Ron Kohavi , George H. John
- 1997
|
|
6
|
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
|
|
23
|
Solution of General Linear Complementarity Problems via Nondifferentiable Concave Minimization
– O. L. Mangasarian
- 1997
|
|
9
|
Robust Solution Of Mixed Complementarity Problems
– Steven P. Dirkse
- 1994
|
|
37
|
Algorithms For Complementarity Problems And Generalized Equations
– Stephen C. Billups
- 1995
|
|
12
|
Hybrid Misclassification Minimization
– Chunhui Chen, O. L. Mangasarian
- 1995
|
|
2
|
Data Mining Via Mathematical Programming And Machine Learning
– David R. Musicant
- 2000
|
|
2
|
Induction of Selective Bayesian Network Classifiers
– Moninder Singh, Gregory M. Provan, Pat Langley
- 1996
|
|
15
|
Learning Bayesian Networks Using Feature Selection
– Gregory M. Provan, Moninder Singh
- 1995
|
|
3
|
Learning Bayesian Networks for Solving Real-World Problems
– Moninder Singh
- 1998
|
