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IWBRS
2005
Springer
168views Biometrics» more  IWBRS 2005»
14 years 27 days ago
Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wa...
ANLP
1997
111views more  ANLP 1997»
13 years 8 months ago
An Improvement in the Selection Process of Machine Translation Using Inductive Learning with Genetic Algorithms
We proposed a method of machine translation using inductive learning with genetic algorithms, and confirmed the effectiveness of applying genetic algorithms. However, the system b...
Hiroshi Echizen-ya, Kenji Araki, Yoshikazu Miyanag...
EWCBR
2004
Springer
14 years 24 days ago
Improving Recommendation Ranking by Learning Personal Feature Weights
The ranking of offers is an issue in e-commerce that has received a lot of attention in Case-Based Reasoning research. In the absence of a sales assistant, it is important to provi...
Lorcan Coyle, Padraig Cunningham
COGCOM
2010
112views more  COGCOM 2010»
13 years 4 months ago
Flexible Latching: A Biologically-Inspired Mechanism for Improving the Management of Homeostatic Goals
Controlling cognitive systems like domestic robots or intelligent assistive environments requires striking an appropriate balance between responsiveness and persistence. Basic goal...
Philipp Rohlfshagen, Joanna Bryson