2934 search results - page 130 / 587 » Hypothesis Spaces for Learning |
145
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PKDD
2010
Springer
15 years 2 months ago
2010
Springer
The foremost nonlinear dimensionality reduction algorithms provide an embedding only for the given training data, with no straightforward extension for test points. This shortcomin...
120
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ITS
2004
Springer
15 years 10 months ago
2004
Springer
Previous research has shown that self-explanation can be supported effectively in an intelligent tutoring system by simple means such as menus. We now focus on the hypothesis that ...
132
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ICML
1999
IEEE
15 years 8 months ago
1999
IEEE
Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a single word. This paper examines some alternative ...
152
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HIS
2004
15 years 5 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
167
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IJON
2008
15 years 4 months ago
2008
Image representation has been a key issue in vision research for many years. In order to represent various local image patterns or objects effectively, it is important to study th...