654 search results - page 75 / 131 » TRUST-TECH based Methods for Optimization and Learning |
101
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
101
Voted
SBRN
2000
IEEE
15 years 5 months ago
2000
IEEE
d Articles >> Table of Contents >> Abstract VI Brazilian Symposium on Neural Networks (SBRN'00) p. 24 Adaptation of Parameters of BP Algorithm Using Automata Hamid...
112
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GECCO
2005
Springer
15 years 6 months ago
2005
Springer
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
106
Voted
ECML
2003
Springer
15 years 6 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
2010
IEEE
15 years 1 months ago
2010
IEEE
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...