4591 search results - page 326 / 919 » Learning from Dyadic Data |
146
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AAAI
1996
15 years 7 months ago
1996
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
188
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UAI
1996
15 years 7 months ago
1996
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
162
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PKDD
2010
Springer
15 years 4 months ago
2010
Springer
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
163
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JMLR
2010
15 years 27 days ago
2010
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
123
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ICDM
2006
IEEE
16 years 4 days ago
2006
IEEE
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...