495 search results - page 65 / 99 » Approximation algorithms for budgeted learning problems |
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ISNN
2007
Springer
15 years 3 months ago
2007
Springer
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
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AAAI
2011
13 years 9 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
ECML
2003
Springer
15 years 2 months ago
2003
Springer
A central issue in logical concept induction is the prospect of inconsistency. This problem may arise due to noise in the training data, or because the target concept does not fit...
ICML
2009
IEEE
15 years 4 months ago
2009
IEEE
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...