1749 search results - page 132 / 350 » Prototypes Based Relational Learning |
138
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NIPS
2007
15 years 6 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
159
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EDM
2009
15 years 2 months ago
2009
In this study, we are interested to see the impact of self-discipline on students' knowledge and learning. Self-discipline can influence both learning rate as well as knowledg...
139
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
146
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ICML
2000
IEEE
16 years 5 months ago
2000
IEEE
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
142
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IJAR
2006
15 years 5 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...