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GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
15 years 10 months ago
Classifier systems that compute action mappings
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
Pier Luca Lanzi, Daniele Loiacono
AIPS
2003
15 years 8 months ago
Synthesis of Hierarchical Finite-State Controllers for POMDPs
We develop a hierarchical approach to planning for partially observable Markov decision processes (POMDPs) in which a policy is represented as a hierarchical finite-state control...
Eric A. Hansen, Rong Zhou
IJCAI
1989
15 years 8 months ago
Domain Dependence in Parallel Constraint Satisfaction
We describe a general technique for expressing domain knowledge in constraint satisfaction problems, and using it to develop optimized parallel arc consistency algorithms for the ...
Paul R. Cooper, Michael J. Swain
JMLR
2006
105views more  JMLR 2006»
15 years 6 months ago
Some Theory for Generalized Boosting Algorithms
We give a review of various aspects of boosting, clarifying the issues through a few simple results, and relate our work and that of others to the minimax paradigm of statistics. ...
Peter J. Bickel, Yaacov Ritov, Alon Zakai
182
Voted
PE
2006
Springer
145views Optimization» more  PE 2006»
15 years 6 months ago
Closed form solutions for mapping general distributions to quasi-minimal PH distributions
Approximating general distributions by phase-type (PH) distributions is a popular technique in stochastic analysis, since the Markovian property of PH distributions often allows a...
Takayuki Osogami, Mor Harchol-Balter