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» Function Optimization with Coevolutionary Algorithms
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NIPS
2003
15 years 2 months ago
AUC Optimization vs. Error Rate Minimization
The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
Corinna Cortes, Mehryar Mohri
UAI
2008
15 years 2 months ago
Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies
Inference problems in graphical models can be represented as a constrained optimization of a free energy function. It is known that when the Bethe free energy is used, the fixedpo...
Tamir Hazan, Amnon Shashua
WWW
2008
ACM
16 years 2 months ago
Algorithm for stochastic multiple-choice knapsack problem and application to keywords bidding
We model budget-constrained keyword bidding in sponsored search auctions as a stochastic multiple-choice knapsack problem (S-MCKP) and design an algorithm to solve S-MCKP and the ...
Yunhong Zhou, Victor Naroditskiy
CEC
2008
IEEE
15 years 8 months ago
New evaluation criteria for the convergence of continuous evolutionary algorithms
—The first hitting time (FHT) plays an important role in convergence evaluation for evolutionary algorithms. However, the current criteria of the FHT are mostly under a hypothesi...
Ying Lin, Jian Huang, Jun Zhang
GECCO
2003
Springer
15 years 6 months ago
Reinforcement Learning Estimation of Distribution Algorithm
Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions ...
Topon Kumar Paul, Hitoshi Iba