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JSAT
2006
88views more  JSAT 2006»
13 years 11 months ago
On Using Cutting Planes in Pseudo-Boolean Optimization
Cutting planes are a well-known, widely used, and very effective technique for Integer Linear Programming (ILP). However, cutting plane techniques are seldom used in PseudoBoolean...
Vasco M. Manquinho, João P. Marques Silva
SIGPRO
2008
151views more  SIGPRO 2008»
13 years 11 months ago
An adaptive penalized maximum likelihood algorithm
The LMS algorithm is one of the most popular learning algorithms for identifying an unknown system. Many variants of the algorithm have been developed based on different problem f...
Guang Deng, Wai-Yin Ng
ML
2008
ACM
248views Machine Learning» more  ML 2008»
13 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 ...
DMIN
2008
190views Data Mining» more  DMIN 2008»
14 years 11 days ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
ICANNGA
2007
Springer
161views Algorithms» more  ICANNGA 2007»
14 years 2 months ago
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
Marek Kretowski, Marek Grzes