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NIPS
2007
15 years 2 months ago
Incremental Natural Actor-Critic Algorithms
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...
Shalabh Bhatnagar, Richard S. Sutton, Mohammad Gha...
106
Voted
TSP
2008
148views more  TSP 2008»
15 years 17 days ago
Statistically Robust Design of Linear MIMO Transceivers
The treatment of channel state information (CSI) is critical in the design of MIMO systems. Accurate CSI at the transmitter is often not possible or may require high feedback rate...
Xi Zhang, Daniel Pérez Palomar, Björn ...
116
Voted
ECCV
2006
Springer
16 years 2 months ago
Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers
Filtering based algorithms have become popular in tracking human body pose. Such algorithms can suffer the curse of dimensionality due to the high dimensionality of the pose state ...
Rui Li, Ming-Hsuan Yang, Stan Sclaroff, Tai-Peng T...
101
Voted
SAS
2010
Springer
140views Formal Methods» more  SAS 2010»
14 years 11 months ago
Multi-dimensional Rankings, Program Termination, and Complexity Bounds of Flowchart Programs
Abstract. Proving the termination of a flowchart program can be done by exhibiting a ranking function, i.e., a function from the program states to a wellfounded set, which strictl...
Christophe Alias, Alain Darte, Paul Feautrier, Lau...
CIKM
2009
Springer
15 years 7 months ago
A social recommendation framework based on multi-scale continuous conditional random fields
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu