1400 search results - page 143 / 280 » Post-Analysis of Learned Rules |
132
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
137
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CVPR
2010
IEEE
16 years 27 days ago
2010
IEEE
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
125
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IEAAIE
2003
Springer
15 years 9 months ago
2003
Springer
- This paper presents an intelligent User Manager Agent System (UMAS) in which it has a capability of making a management decision for balancing the network load with the users’ ...
120
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MLDM
2009
Springer
15 years 9 months ago
2009
Springer
The new approach of relevant feature selection in machine learning is proposed for the case of ordered features. Feature selection and regularization of decision rule are combined ...
124
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WSC
2008
15 years 7 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...