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» TRUST-TECH based Methods for Optimization and Learning
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133
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DAWAK
2006
Springer
15 years 4 months ago
Mixed Decision Trees: An Evolutionary Approach
In the paper, a new evolutionary algorithm (EA) for mixed tree learning is proposed. In non-terminal nodes of a mixed decision tree different types of tests can be placed, ranging ...
Marek Kretowski, Marek Grzes
140
Voted
EUSFLAT
2003
117views Fuzzy Logic» more  EUSFLAT 2003»
15 years 2 months ago
On a modeling of decision making with a twofold integral
A Sugeno and a Choquet integrals are commonly used fuzzy integrals for aggregation. As a generalization of both integrals, the twofold integral is induced. The twofold integral en...
Hideyuki Imai, Vicenç Torra
ECML
2001
Springer
15 years 5 months ago
Comparing the Bayes and Typicalness Frameworks
When correct priors are known, Bayesian algorithms give optimal decisions, and accurate confidence values for predictions can be obtained. If the prior is incorrect however, these...
Thomas Melluish, Craig Saunders, Ilia Nouretdinov,...
151
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TFS
2008
157views more  TFS 2008»
15 years 5 days ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
101
Voted
CVPR
2005
IEEE
16 years 2 months ago
Learning Feature Distance Measures for Image Correspondences
Standard but ad hoc measures such as sum-of-squared pixel differences (SSD) are often used when comparing and registering two images that have not been previously observed before....
Xi Chen, Tat-Jen Cham