603 search results - page 53 / 121 » A theory of learning from different domains |
FLAIRS
2004
15 years 3 months ago
2004
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...
107
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CIKM
2008
Springer
15 years 3 months ago
2008
Springer
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
120
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ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
134
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JODL
2007
2007
Building rich, semantic descriptions of learning activities to facilitate reuse in digital libraries
15 years 1 months ago
Abstract This paper describes efforts to extend educational descriptions of learning objects to enable semantic search for suitable resources held within digital libraries and cybe...