966 search results - page 145 / 194 » A Two-Level Learning Method for Generalized Multi-instance P... |
114
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MLMTA
2003
15 years 3 months ago
2003
— This work shows comparatively the capacity of five Fuzzy Lattice Neurocomputing (FLN) classifiers. The mechanics of the five classifiers are illustrated geometrically on the pl...
119
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CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
102
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GECCO
2005
Springer
15 years 8 months ago
2005
Springer
This paper presents a mutation-based evolutionary algorithm that evolves genotypic genes for regulating developmental timing of phenotypic values. The genotype sequentially genera...
140
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
143
Voted
CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...