1658 search results - page 137 / 332 » Learning Unknown Graphs |
152
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ICDM
2010
IEEE
15 years 2 months ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
128
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
132
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ALT
2006
Springer
16 years 1 months ago
2006
Springer
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
142
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COLT
2000
Springer
15 years 8 months ago
2000
Springer
We investigate the computational complexity of the task of detecting dense regions of an unknown distribution from un-labeled samples of this distribution. We introduce a formal l...
128
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COLT
1989
Springer
15 years 8 months ago
1989
Springer
The present paper considers the effects of introducing inaccuracies in a learner’s environment in Gold’s learning model of identification in the limit. Three kinds of inaccu...