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» Selection of Subsets of Ordered Features in Machine Learning
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ML
2008
ACM
248views Machine Learning» more  ML 2008»
14 years 11 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
ISI
2007
Springer
14 years 11 months ago
Host Based Intrusion Detection using Machine Learning
—Detecting unknown malicious code (malcode) is a challenging task. Current common solutions, such as anti-virus tools, rely heavily on prior explicit knowledge of specific instan...
Robert Moskovitch, Shay Pluderman, Ido Gus, Dima S...
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
15 years 5 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
ECML
2004
Springer
15 years 3 months ago
Justification-Based Selection of Training Examples for Case Base Reduction
Maintaining compact and competent case bases has become a main topic of Case Based Reasoning (CBR) research. The main goal is to obtain a compact case base (with a reduced number o...
Santiago Ontañón, Enric Plaza
FLAIRS
2007
15 years 2 months ago
Random Subsets Support Learning a Mixture of Heuristics
Problem solvers, both human and machine, have at their disposal many heuristics that may support effective search. The efficacy of these heuristics, however, varies with the probl...
Smiljana Petrovic, Susan L. Epstein