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EC
2008
103views ECommerce» more  EC 2008»
14 years 10 months ago
A Graphical Model for Evolutionary Optimization
We present a statistical model of empirical optimization that admits the creation of algorithms with explicit and intuitively defined desiderata. Because No Free Lunch theorems di...
Christopher K. Monson, Kevin D. Seppi
WINE
2007
Springer
124views Economy» more  WINE 2007»
15 years 4 months ago
Stochastic Models for Budget Optimization in Search-Based Advertising
Internet search companies sell advertisement slots based on users’ search queries via an auction. Advertisers have to solve a complex optimization problem of how to place bids o...
S. Muthukrishnan, Martin Pál, Zoya Svitkina
BMCBI
2006
146views more  BMCBI 2006»
14 years 10 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
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IEICET
2007
114views more  IEICET 2007»
14 years 10 months ago
Analytic Optimization of Adaptive Ridge Parameters Based on Regularized Subspace Information Criterion
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
Shun Gokita, Masashi Sugiyama, Keisuke Sakurai
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 3 months ago
Bayesian optimization models for particle swarms
We explore the use of information models as a guide for the development of single objective optimization algorithms, giving particular attention to the use of Bayesian models in a...
Christopher K. Monson, Kevin D. Seppi