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» On learning with dissimilarity functions
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SIGMOD
2006
ACM
122views Database» more  SIGMOD 2006»
14 years 8 months ago
MonetDB/XQuery: a fast XQuery processor powered by a relational engine
Relational XQuery systems try to re-use mature relational data management infrastructures to create fast and scalable XML database technology. This paper describes the main featur...
Peter A. Boncz, Torsten Grust, Maurice van Keulen,...
CIKM
2009
Springer
14 years 2 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
FCCM
2008
IEEE
160views VLSI» more  FCCM 2008»
14 years 2 months ago
Facilitating Processor-Based DPR Systems for non-DPR Experts
Currently, only Xilinx Field Programmable Gate Arrays (FPGAs) support Dynamic Partial Reconfiguration (DPR). While there is currently some Computer Aided Design (CAD) tool support...
Edward Chen, William A. Gruver, Dorian Sabaz, Lesl...
GECCO
2007
Springer
173views Optimization» more  GECCO 2007»
14 years 2 months ago
UCSpv: principled voting in UCS rule populations
Credit assignment is a fundamental issue for the Learning Classifier Systems literature. We engage in a detailed investigation of credit assignment in one recent system called UC...
Gavin Brown, Tim Kovacs, James A. R. Marshall
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
14 years 2 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec