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CORR
2010
Springer
204views Education» more  CORR 2010»
15 years 3 months ago
Predictive State Temporal Difference Learning
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Byron Boots, Geoffrey J. Gordon
INFOCOM
2010
IEEE
15 years 3 months ago
A Node-failure-resilient Anonymous Communication Protocol through Commutative Path Hopping
Abstract—With rising concerns on user privacy over the Internet, anonymous communication systems that hide the identity of a participant from its partner or third parties are hig...
Fengjun Li, Bo Luo, Peng Liu, Chao-Hsien Chu
TSP
2008
167views more  TSP 2008»
15 years 3 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
15 years 3 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...
133
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WIOPT
2010
IEEE
15 years 3 months ago
On maximizing collaboration in Wireless Mesh Networks without monetary incentives
—In distributed network settings, where nodes are not under the control of a single administrative entity, the fulfillment of fundamental network operations is heavily dependent...
Gabriel Popa, Éric Gourdin, Franck Legendre...
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