3837 search results - page 224 / 768 » Learning Approximate Consistencies |
181
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
228
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ICML
2006
IEEE
16 years 8 months ago
2006
IEEE
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
223
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ICML
2006
IEEE
16 years 8 months ago
2006
IEEE
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
184
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ICML
2005
IEEE
16 years 8 months ago
2005
IEEE
When monitoring spatial phenomena, which are often modeled as Gaussian Processes (GPs), choosing sensor locations is a fundamental task. A common strategy is to place sensors at t...
312
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VLDB
2006
ACM
16 years 7 months ago
2006
ACM
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...