3076 search results - page 155 / 616 » Active Learning for Networked Data |
112
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UAI
1997
15 years 5 months ago
1997
It has been shown that a class of probabilistic domain models cannot be learned correctly by several existing algorithms which employ a single-link lookahead search. When a multil...
159
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ITRE
2005
IEEE
15 years 10 months ago
2005
IEEE
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
146
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NN
2006
Springer
15 years 4 months ago
2006
Springer
The paper deals with the concept of relevance learning in learning vector quantization and classification. Recent machine learning approaches with the ability of metric adaptation...
147
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NCI
2004
15 years 5 months ago
2004
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
163
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KDD
2010
ACM
15 years 8 months ago
2010
ACM
This paper intends to provide some insights of a scientific problem: how likely one’s interests can be inferred from his/her social connections – friends, friends’ friends,...