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ALT
2006
Springer
14 years 6 months ago
Smooth Boosting Using an Information-Based Criterion
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
Kohei Hatano
FUZZIEEE
2007
IEEE
14 years 4 months ago
A Feature Selection Method Based on Choquet Integral and Typicality Analysis
— An iterative feature selection method based on feature typicality and interactivity analysis is presented in this paper. The aim is to enhance model interpretability by selecti...
Cyril Mazaud, Jan Rendek, Vincent Bombardier, Laur...
PRL
2006
117views more  PRL 2006»
13 years 9 months ago
Feature selection in robust clustering based on Laplace mixture
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
Aurélien Cord, Christophe Ambroise, Jean Pi...
ACL
2010
13 years 7 months ago
Tree-Based Deterministic Dependency Parsing - An Application to Nivre's Method -
Nivre's method was improved by enhancing deterministic dependency parsing through application of a tree-based model. The model considers all words necessary for selection of ...
Kotaro Kitagawa, Kumiko Tanaka-Ishii
FPL
2009
Springer
162views Hardware» more  FPL 2009»
14 years 2 months ago
A comparison of FPGA and FPAA technologies for a signal processing application
This paper presents a comparison between two technologies for reconfigurable circuits that are FPGA'se the FPAA's. The comparison is based on a case study of the area of...
Roberto Selow, Heitor S. Lopes, Carlos R. Erig Lim...