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ICML
2006
IEEE
16 years 7 months ago
Experience-efficient learning in associative bandit problems
We formalize the associative bandit problem framework introduced by Kaelbling as a learning-theory problem. The learning environment is modeled as a k-armed bandit where arm payof...
Alexander L. Strehl, Chris Mesterharm, Michael L. ...
MICRO
2007
IEEE
135views Hardware» more  MICRO 2007»
16 years 18 days ago
Microarchitectural Design Space Exploration Using an Architecture-Centric Approach
The microarchitectural design space of a new processor is too large for an architect to evaluate in its entirety. Even with the use of statistical simulation, evaluation of a sing...
Christophe Dubach, Timothy M. Jones, Michael F. P....
FBIT
2007
IEEE
16 years 19 days ago
Learning to Drive a Real Car in 20 Minutes
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
ICANN
2009
Springer
15 years 10 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao
ASIAN
2005
Springer
178views Algorithms» more  ASIAN 2005»
15 years 11 months ago
An Approach for Service Discovery Based on Semantic Peer-to-Peer
The service discovery is a key step during Peer-to-Peer (P2P) converging with Web Service. In this paper, a semantic-P2P based approach is presented for web service discovery. To e...
Hao Wu, Hai Jin, Yunfa Li, Hanhan Chen