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166
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ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
Many systems that learn from examples express the learned concept as a disjunction. Those disjuncts that cover only a few examples are referred to as small disjuncts. The problem ...
167
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AAAI
2000
15 years 7 months ago
2000
Systems that learn from examples often express the learned concept in the form of a disjunctive description. Disjuncts that correctly classify few training examples are known as s...
193
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ECTEL
2010
Springer
15 years 3 months ago
2010
Springer
In this article we present an infrastructure for creating mash up and visual representations of the user profile that combine data from different sources. We explored this approach...
163
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ICML
1996
IEEE
16 years 7 months ago
1996
IEEE
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
148
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ALT
2009
Springer
15 years 9 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...