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149
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AAMAS
2002
Springer
15 years 3 months ago
Relational Reinforcement Learning for Agents in Worlds with Objects
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Saso Dzeroski
129
Voted
CVPR
2003
IEEE
16 years 5 months ago
Learning Appearance and Transparency Manifolds of Occluded Objects in Layers
By mapping a set of input images to points in a lowdimensional manifold or subspace, it is possible to efficiently account for a small number of degrees of freedom. For example, i...
Brendan J. Frey, Nebojsa Jojic, Anitha Kannan
90
Voted
FSS
2002
93views more  FSS 2002»
15 years 3 months ago
Incremental learning in Fuzzy Pattern Matching
We use learning methods to build classi
Moamar Sayed Mouchaweh, Arnaud Devillez, Gé...
136
Voted
CIKM
2009
Springer
15 years 10 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
120
Voted
ANCS
2008
ACM
15 years 5 months ago
A remotely accessible network processor-based router for network experimentation
Over the last decade, programmable Network Processors (NPs) have become widely used in Internet routers and other network components. NPs enable rapid development of complex packe...
Charlie Wiseman, Jonathan S. Turner, Michela Becch...