2027 search results - page 14 / 406 » Learning and Generalization with the Information Bottleneck |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
IEICET
2007
14 years 9 months ago
2007
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
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NN
2002
Springer
2002
Springer
Optimal design of regularization term and regularization parameter by subspace information criterion
14 years 9 months ago
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
JMLR
2008
14 years 9 months ago
2008
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
KCAP
2003
ACM
15 years 3 months ago
2003
ACM
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...