15120 search results - page 234 / 3024 » Learning with Local Models |
160
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ECML
2005
Springer
16 years 1 days ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
180
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
159
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SEMWEB
2007
Springer
16 years 19 days ago
2007
Springer
Our research explores the possibilities for factoring culture into user models, working towards cultural adaptivity in the semantic web. The aim is to represent the user’s positi...
157
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
161
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SIGMETRICS
2008
ACM
15 years 6 months ago
2008
ACM
Traditional performance models are too brittle to be relied on for continuous capacity planning and performance debugging in many computer systems. Simply put, a brittle model is ...