1393 search results - page 101 / 279 » Machine Learning by Function Decomposition |
ICML
2007
IEEE
16 years 2 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...
134
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AVSS
2006
IEEE
15 years 5 months ago
2006
IEEE
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
106
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SDM
2008
SIAM
15 years 3 months ago
2008
SIAM
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
125
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AAMAS
2004
Springer
15 years 1 months ago
2004
Springer
The development of the World Wide Web has changed the way we think about information. Information on the web is distributed, updates are made asynchronously and resources come onli...
108
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IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...