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ML
2002
ACM
146views Machine Learning» more  ML 2002»
15 years 6 months ago
Kernel Matching Pursuit
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
Pascal Vincent, Yoshua Bengio
KBS
1998
66views more  KBS 1998»
15 years 6 months ago
A hierarchical case representation using context guided retrieval
This paper presents a hierarchical case representation using a context guided retrieval method. The performance of this method is compared to that of a simpler flat file represe...
Ian D. Watson, Srinath Perera
CIKM
2007
Springer
16 years 18 days ago
Parallel linkage
We study the parallelization of the (record) linkage problem – i.e., to identify matching records between two collections of records, A and B. One of main idiosyncrasies of the ...
Hung-sik Kim, Dongwon Lee
GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
15 years 10 months ago
Mixing independent classifiers
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
Jan Drugowitsch, Alwyn Barry
IIS
2003
15 years 7 months ago
Function Optimization with Coevolutionary Algorithms
Abstract. The problem of parallel and distributed function optimization with coevolutionary algorithms is considered. Two coevolutionary algorithms are used for this purpose and co...
Franciszek Seredynski, Albert Y. Zomaya, Pascal Bo...