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ECAI
2010
Springer
15 years 3 months ago
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
Reinaldo A. C. Bianchi, Ramon López de M&aa...
113
Voted
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
15 years 8 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
ICAISC
2004
Springer
15 years 8 months ago
An Evolutionary Algorithm for Oblique Decision Tree Induction
In the paper, a new evolutionary approach to induction of oblique decision trees is described. In each non-terminal node, the specialized evolutionary algorithm is applied to searc...
Marek Kretowski
IWANN
2007
Springer
15 years 8 months ago
An EA Multi-model Selection for SVM Multiclass Schemes
Multiclass problems with binary SVM classifiers are commonly treated as a decomposition in several binary sub-problems. An open question is how to properly tune all these sub-prob...
Gilles Lebrun, Olivier Lezoray, Christophe Charrie...
123
Voted
APPML
2007
91views more  APPML 2007»
15 years 2 months ago
Steplength selection in interior-point methods for quadratic programming
We present a new strategy for choosing primal and dual steplengths in a primal-dual interior-point algorithm for convex quadratic programming. Current implementations often scale ...
Frank E. Curtis, Jorge Nocedal