4263 search results - page 531 / 853 » Learning without Coding |
152
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
185
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
In this paper we investigate two aspects of ranking problems on large graphs. First, we augment the deterministic pruning algorithm in Sarkar and Moore (2007) with sampling techni...
178
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
183
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
217
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...