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» A Mean-Variance Optimization algorithm
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ICML
2008
IEEE
16 years 8 months ago
Learning all optimal policies with multiple criteria
We describe an algorithm for learning in the presence of multiple criteria. Our technique generalizes previous approaches in that it can learn optimal policies for all linear pref...
Leon Barrett, Srini Narayanan
ICML
2003
IEEE
16 years 8 months ago
Optimization with EM and Expectation-Conjugate-Gradient
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
ICCAD
2006
IEEE
126views Hardware» more  ICCAD 2006»
16 years 4 months ago
Optimizing yield in global routing
We present the first efficient approach to global routing that takes spacing-dependent costs into account and provably finds a near-optimum solution including these costs. We sh...
Dirk Müller
ANTSW
2006
Springer
15 years 11 months ago
Applying Aspects of Multi-robot Search to Particle Swarm Optimization
Abstract. We present a modified version of the Particle swarm Optimization algorithm in which we adjust the virtual swarm search by incorporating inter-agent dynamics native to mul...
Jim Pugh, Loïc Segapelli, Alcherio Martinoli
ECAI
2006
Springer
15 years 10 months ago
Random Subset Optimization
Some of the most successful algorithms for satisfiability, such as Walksat, are based on random walks. Similarly, local search algorithms for solving constraint optimization proble...
Boi Faltings, Quang Huy Nguyen