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» Towards a Combined Approach to Feature Selection
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EWCBR
2008
Springer
13 years 10 months ago
Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, H&e...
ICPR
2008
IEEE
14 years 10 months ago
Towards mobile authentication using dynamic signature verification: Useful features and performance evaluation
The proliferation of handheld devices such as PDAs and smartphones represents a new scenario for automatic signature verification. Traditionally, research on signature verificatio...
Marcos Martinez-Diaz, Julian Fiérrez-Aguila...
DAGM
2004
Springer
14 years 2 months ago
Adaptive Feature Selection in Image Segmentation
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of f...
Volker Roth, Tilman Lange
ICDAR
2009
IEEE
14 years 3 months ago
Generic Feature Selection and Document Processing
This paper presents a generic features selection method and its applications on some document analysis problems. The method is based on a genetic algorithm (GA), whose tness funct...
Hassan Chouaib, Nicole Vincent, Florence Cloppet, ...
APBC
2004
132views Bioinformatics» more  APBC 2004»
13 years 10 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov