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» A Framework for Multiple-Instance Learning
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143
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ATAL
2010
Springer
15 years 3 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
158
Voted
PAMI
2011
14 years 10 months ago
Multiple Kernel Learning for Dimensionality Reduction
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
138
Voted
ICCV
2007
IEEE
16 years 5 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
114
Voted
ICALT
2006
IEEE
15 years 9 months ago
Analyzing Student Activity in Computer Assisted Language Learning
We study the use of a computer application, intended for Computer Assisted Language Learning (CALL). We present an analytical framework for CALL, consisting of technology, interac...
Petter Karlström, Teresa Cerratto Pargman
138
Voted
IUI
1998
ACM
15 years 7 months ago
Task-sensitive Cinematography Interfaces for Interactive 3D Learning Environments
Interactive3Dlearningenvironmentscanproviderichproblemsolving experiences with unparalleled visual impact. In these environments, students interactively solve problems by directin...
William H. Bares, Luke S. Zettlemoyer, Dennis W. R...