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» Predicting Time Series with Support Vector Machines
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150
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GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 4 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
119
Voted
HPCC
2009
Springer
15 years 8 months ago
Resource Leasing and the Art of Suspending Virtual Machines
Using virtual machines as a resource provisioning mechanism offers multiple benefits, most recently exploited by “infrastructure-as-a-service” clouds, but also poses several...
Borja Sotomayor, Rubén S. Montero, Ignacio ...
123
Voted
SMC
2007
IEEE
133views Control Systems» more  SMC 2007»
15 years 10 months ago
Text classification using multi-word features
—We carried out a series of experiments on text classification using multi-word features. An automated method was proposed to extract the multi-words from text data set and two d...
Wen Zhang, Taketoshi Yoshida, Xijin Tang
139
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NECO
2010
101views more  NECO 2010»
14 years 10 months ago
Large-Margin Classification in Infinite Neural Networks
We introduce a new family of positive-definite kernels for large margin classification in support vector machines (SVMs). These kernels mimic the computation in large neural netwo...
Youngmin Cho, Lawrence K. Saul
140
Voted
ICMCS
2005
IEEE
112views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Segment-based approach to the recognition of emotions in speech
A new framework for the context and speaker independent recognition of emotions from voice, based on a richer and more natural representation of the speech signal, is proposed. Th...
Mohammad T. Shami, Mohamed S. Kamel