394 search results - page 35 / 79 » A Study of Empirical Learning for an Involved Problem |
103
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KDD
2006
ACM
16 years 6 days ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
ECAI
2006
Springer
15 years 3 months ago
2006
Springer
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operate...
106
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NIPS
2007
15 years 1 months ago
2007
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
ALT
2001
Springer
15 years 8 months ago
2001
Springer
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
109
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KDD
2005
ACM
15 years 5 months ago
2005
ACM
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...