1014 search results - page 135 / 203 » A Spectral Algorithm for Learning Hidden Markov Models |
122
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TOIS
2010
15 years 21 days ago
2010
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
133
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INFOCOM
2012
IEEE
13 years 4 months ago
2012
IEEE
—In this paper we develop an adaptive learning algorithm which is approximately optimal for an opportunistic spectrum access (OSA) problem with polynomial complexity. In this OSA...
126
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ACCV
2006
Springer
15 years 8 months ago
2006
Springer
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...
108
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WSC
2008
15 years 4 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
119
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BMCBI
2007
15 years 2 months ago
2007
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties, with potential implications ...