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» Memetic Algorithms for Feature Selection on Microarray Data
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AAAI
2008
13 years 10 months ago
Feature Selection for Activity Recognition in Multi-Robot Domains
In multi-robot settings, activity recognition allows a robot to respond intelligently to the other robots in its environment. Conditional random fields are temporal models that ar...
Douglas L. Vail, Manuela M. Veloso
JMM2
2008
124views more  JMM2 2008»
13 years 7 months ago
Integrated Feature Selection and Clustering for Taxonomic Problems within Fish Species Complexes
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
Huimin Chen, Henry L. Bart Jr., Shuqing Huang
PRL
2006
117views more  PRL 2006»
13 years 7 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...
COGSCI
2010
107views more  COGSCI 2010»
13 years 7 months ago
Feature Selection for Inductive Generalization
Judging similarities among objects, events, and experiences is one of the most basic cognitive abilities, allowing us to make predictions and generalizations. The main assumption ...
Na-Yung Yu, Takashi Yamauchi, Huei-Fang Yang, Yen-...
SUTC
2008
IEEE
14 years 2 months ago
Effective Feature Space Reduction with Imbalanced Data for Semantic Concept Detection
Semantic understanding of multimedia content has become a very popular research topic in recent years. Semantic concept detection algorithms face many challenges such as the seman...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen