881 search results - page 80 / 177 » Spectral Algorithms for Supervised Learning |
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
ECAI
2000
Springer
15 years 2 months ago
2000
Springer
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...
ISCI
2008
14 years 9 months ago
2008
Discretization algorithms have played an important role in data mining and knowledge discovery. They not only produce a concise summarization of continuous attributes to help the ...
102
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CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
In region-based image annotation, keywords are usually associated with images instead of individual regions in the training data set. This poses a major challenge for any learning...
107
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COLT
1995
Springer
15 years 1 months ago
1995
Springer
We investigate the problem of estimating the proportion vector which maximizes the likelihood of a given sample for a mixture of given densities. We adapt a framework developed for...