997 search results - page 30 / 200 » Learning Rule Representations from Boolean Data |
94
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ICANN
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...
107
Voted
PKDD
1999
Springer
15 years 4 months ago
1999
Springer
A cascade model is a rule induction methodology using levelwise expansion of an itemset lattice, where the explanatory power of a rule set and its constituent rules are quantitativ...
117
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NLP
2000
15 years 4 months ago
2000
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
ISMIS
2005
Springer
15 years 6 months ago
2005
Springer
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
122
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IV
2010
IEEE
14 years 11 months ago
2010
IEEE
In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources. We explored this approach ...