5109 search results - page 265 / 1022 » On Learning Limiting Programs |
190
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ECML
2007
Springer
16 years 26 days ago
2007
Springer
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
184
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KES
2005
Springer
16 years 5 days ago
2005
Springer
Pervasive computing environment and users’ demand for multimedia personalization precipitate a need for personalization tools to help people access desired multimedia content at ...
201
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C5
2004
IEEE
15 years 10 months ago
2004
IEEE
Existing online learning experiences lack the social dimension that characterizes learning in the real world. This social dimension extends beyond the traditional classroom into t...
154
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COLT
2008
Springer
15 years 8 months ago
2008
Springer
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
190
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AIIDE
2006
15 years 8 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...