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199
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
183
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ATAL
2007
Springer
16 years 27 days ago
2007
Springer
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
205
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IJCAI
1989
15 years 7 months ago
1989
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
155
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
In this paper we describe a method to learn parameters
which govern pedestrian motion by observing video
data. Our learning framework is based on variational
mode learning and a...
210
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...