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SDM
2009
SIAM
219views Data Mining» more  SDM 2009»
15 years 7 months ago
A Hybrid Data Mining Metaheuristic for the p-Median Problem.
Metaheuristics represent an important class of techniques to solve, approximately, hard combinatorial optimization problems for which the use of exact methods is impractical. In t...
Alexandre Plastino, Erick R. Fonseca, Richard Fuch...
CVPR
2010
IEEE
15 years 1 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
SC
2009
ACM
15 years 2 months ago
GPU based sparse grid technique for solving multidimensional options pricing PDEs
It has been shown that the sparse grid combination technique can be a practical tool to solve high dimensional PDEs arising in multidimensional option pricing problems in finance...
Abhijeet Gaikwad, Ioane Muni Toke
OOPSLA
1997
Springer
15 years 1 months ago
Parasitic Methods: An Implementation of Multi-Methods for Java
In an object-oriented programming language, method selection is (usually) done at run-time using the class of the receiver. Some object-orientedlanguages(such as CLOS) have multi-...
John Boyland, Giuseppe Castagna
IJCNLP
2005
Springer
15 years 3 months ago
Improving Korean Speech Acts Analysis by Using Shrinkage and Discourse Stack
Abstract. A speech act is a linguistic action intended by a speaker. It is important to analyze the speech act for the dialogue understanding system because the speech act of an ut...
Kyungsun Kim, Youngjoong Ko, Jungyun Seo