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CEC
2010
IEEE
15 years 7 months ago
A Mean-Variance Optimization algorithm
A new stochastic optimization algorithm referred to by the authors as the `Mean-Variance Optimization' (MVO) algorithm is presented in this paper. MVO falls into the category ...
Istvan Erlich, Ganesh K. Venayagamoorthy, Nakawiro...
ATAL
2010
Springer
15 years 6 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
CSDA
2006
96views more  CSDA 2006»
15 years 6 months ago
Analysis of new variable selection methods for discriminant analysis
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller sub...
Joaquín A. Pacheco, Silvia Casado, Laura N&...
IAT
2010
IEEE
15 years 4 months ago
Getting What You Pay For: Is Exploration in Distributed Hill Climbing Really Worth it?
Abstract--The Distributed Stochastic Algorithm (DSA), Distributed Breakout Algorithm (DBA), and variations such as Distributed Simulated Annealing (DSAN), MGM-1, and DisPeL, are di...
Melanie Smith, Roger Mailler
ILP
1998
Springer
15 years 10 months ago
Learning Structurally Indeterminate Clauses
This paper describes a new kind of language bias, S-structural indeterminate clauses, which takes into account the meaning of predicates that play a key role in the complexity of l...
Jean-Daniel Zucker, Jean-Gabriel Ganascia