222 search results - page 9 / 45 » Learning Optimal Parameters in Decision-Theoretic Rough Sets |
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
GECCO
2006
Springer
14 years 7 days ago
2006
Springer
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
CIA
2006
Springer
14 years 9 days ago
2006
Springer
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
ML
2010
ACM
13 years 7 months ago
2010
ACM
Abstract A dynamic programming algorithm for constructing optimal dyadic decision trees was recently introduced, analyzed, and shown to be very effective for low dimensional data ...
DATAMINE
2006
13 years 8 months ago
2006
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...