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105
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CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 2 months ago
Empirical learning aided by weak domain knowledge in the form of feature importance
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowle...
Ridwan Al Iqbal
JCP
2008
167views more  JCP 2008»
15 years 2 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
106
Voted
IOR
2007
119views more  IOR 2007»
15 years 2 months ago
A Decentralized Approach to Discrete Optimization via Simulation: Application to Network Flow
We study a new class of decentralized algorithms for discrete optimization via simulation, which is inspired by the fictitious play algorithm applied to games with identical inte...
Alfredo Garcia, Stephen D. Patek, Kaushik Sinha
114
Voted
CSL
2004
Springer
15 years 2 months ago
HyperLex: lexical cartography for information retrieval
This article describes an algorithm called HyperLex that is capable of automatically determining word uses in a textbase without recourse to a dictionary. The algorithm makes use ...
Jean Véronis
163
Voted
PE
2000
Springer
118views Optimization» more  PE 2000»
15 years 2 months ago
A probabilistic dynamic technique for the distributed generation of very large state spaces
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
William J. Knottenbelt, Peter G. Harrison, Mark Me...