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» Optimal strategies in sequential bidding
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ECAI
2004
Springer
15 years 3 months ago
Learning Techniques for Automatic Algorithm Portfolio Selection
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...
Alessio Guerri, Michela Milano
ACMICEC
2007
ACM
245views ECommerce» more  ACMICEC 2007»
15 years 1 months ago
Keyword generation for search engine advertising using semantic similarity between terms
An important problem in search engine advertising is keyword1 generation. In the past, advertisers have preferred to bid for keywords that tend to have high search volumes and hen...
Vibhanshu Abhishek, Kartik Hosanagar
WSC
2008
15 years 1 days ago
Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batc...
Liqing Di, Zhihua Xiong, XianHui Yang
CORR
2007
Springer
105views Education» more  CORR 2007»
14 years 9 months ago
On Real-Time Communication Systems with Noisy Feedback
— We consider a real--time communication system with noisy feedback consisting of a Markov source, a forward and a backward discrete memoryless channels, and a receiver with fin...
Aditya Mahajan, Demosthenis Teneketzis
GECCO
2010
Springer
237views Optimization» more  GECCO 2010»
15 years 2 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed
The well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD ....
Anne Auger, Dimo Brockhoff, Nikolaus Hansen