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» On Combining Classifiers
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ABIALS
2008
Springer
14 years 4 days ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
FLAIRS
2004
13 years 11 months ago
Strategies For Fuzzy Inference within Classifier Systems
When designing any type of fuzzy rule based system, considerable effort is placed in identifying the correct number of fuzzy sets and the fine tuning of the corresponding membersh...
Keeley A. Crockett, Zuhair Bandar, David McLean
ICANN
2003
Springer
14 years 3 months ago
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it ex...
Hong-Hee Won, Sung-Bae Cho
PR
2008
85views more  PR 2008»
13 years 10 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
ICIP
2009
IEEE
13 years 7 months ago
Human identification from human movements
In this paper a multi-modal method for human identification that exploits the discrimination power of several movement types performed from the same human is proposed. Utilizing a ...
Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas