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AAAI
2008
15 years 2 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
NPC
2010
Springer
14 years 10 months ago
Exposing Tunable Parameters in Multi-threaded Numerical Code
Achieving high performance on today’s architectures requires careful orchestration of many optimization parameters. In particular, the presence of shared-caches on multicore arch...
Apan Qasem, Jichi Guo, Faizur Rahman, Qing Yi
FPGA
2004
ACM
128views FPGA» more  FPGA 2004»
15 years 3 months ago
Incremental physical resynthesis for timing optimization
This paper presents a new approach to timing optimization for FPGA designs, namely incremental physical resynthesis, to answer the challenge of effectively integrating logic and p...
Peter Suaris, Lung-Tien Liu, Yuzheng Ding, Nan-Chi...
ICML
2006
IEEE
16 years 18 days ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
HUC
2010
Springer
14 years 12 months ago
Accuracy characterization of cell tower localization
Cell tower triangulation is a popular technique for determining the location of a mobile device. However, cell tower triangulation methods require the knowledge of the actual loca...
Jie Yang, Alexander Varshavsky, Hongbo Liu, Yingyi...