3976 search results - page 270 / 796 » Machine Learning in User Modeling |
165
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
208
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
182
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ECAI
2000
Springer
15 years 11 months ago
2000
Springer
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
156
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ECTEL
2007
Springer
16 years 1 months ago
2007
Springer
In this paper, based on recent scientific findings in the fields of neurology, evolutionary psychology and cognitive psychology we propose a software architecture and technology su...
177
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COLT
1999
Springer
15 years 11 months ago
1999
Springer
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...