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ASPDAC
2012
ACM
241views Hardware» more  ASPDAC 2012»
14 years 2 months ago
Post-fabrication reconfiguration for power-optimized tuning of optically connected multi-core systems
Abstract— Integrating optical interconnects into the nextgeneration multi-/many-core architecture has been considered a viable solution to addressing the limitations in throughpu...
Yan Zheng, Peter Lisherness, Saeed Shamshiri, Amir...
IJCNN
2008
IEEE
16 years 1 months ago
Hybrid learning architecture for unobtrusive infrared tracking support
—The system architecture presented in this paper is designed for helping an aged person to live longer independently in their own home by detecting unusual and potentially hazard...
K. K. Kiran Bhagat, Stefan Wermter, Kevin Burn
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
15 years 10 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
SDM
2008
SIAM
176views Data Mining» more  SDM 2008»
15 years 8 months ago
A General Model for Multiple View Unsupervised Learning
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang
AR
2007
105views more  AR 2007»
15 years 6 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...