8970 search results - page 406 / 1794 » Learning to Learn Causal Models |
159
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ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Many video surveillance applications require detecting human reappearances in a scene monitored by a camera or over a network of cameras. This is the human reappearance detection ...
210
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ATAL
2004
Springer
16 years 9 days ago
2004
Springer
The problem of interest is how to dynamically allocate wireless access services in a competitive market which implements a take-it-or-leave-it allocation mechanism. In this paper ...
163
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ADMA
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
216
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HIS
2003
15 years 8 months ago
2003
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
189
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ICDM
2010
IEEE
15 years 4 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...