6715 search results - page 586 / 1343 » Learning from a Test Set |
216
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CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from an overcomplete basis set. Most existing approaches employ a...
212
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JMLR
2012
13 years 9 months ago
2012
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
161
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WMTE
2006
IEEE
16 years 1 months ago
2006
IEEE
Delivering learning materials anytime, anywhere is the goal underpinning the ubiquitous learning (u-learning) paradigm. Personalising u-learning courseware delivers a unique learn...
188
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AIME
2003
Springer
16 years 13 days ago
2003
Springer
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
184
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ILP
1999
Springer
15 years 11 months ago
1999
Springer
This paper presents an application of Inductive Logic Programming (ILP) and Backpropagation Neural Network (BNN) to the problem of Thai character recognition. In such a learning pr...