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» Function Optimization with Coevolutionary Algorithms
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156
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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 6 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
114
Voted
SIGMOD
1999
ACM
107views Database» more  SIGMOD 1999»
15 years 6 months ago
Client-Site Query Extensions
We explore the execution of queries with client-site userdefined functions (UDFs). Many UDFs can only be executed at the client site, for reasons of scalability, security, confide...
Tobias Mayr, Praveen Seshadri
148
Voted
ANOR
2007
165views more  ANOR 2007»
15 years 2 months ago
Financial scenario generation for stochastic multi-stage decision processes as facility location problems
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
Ronald Hochreiter, Georg Ch. Pflug
PRL
2007
131views more  PRL 2007»
15 years 2 months ago
A new look at discriminative training for hidden Markov models
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiï...
Xiaodong He, Li Deng
IJON
2002
85views more  IJON 2002»
15 years 2 months ago
Learning statistically efficient features for speaker recognition
We apply independent component analysis (ICA) for extracting an optimal basis to the problem of finding efficient features for a speaker. The basis functions learned by the algori...
Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh