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118
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AAAI
2008
15 years 6 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...
134
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EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
15 years 7 months ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
159
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IPPS
2010
IEEE
15 years 1 months ago
On the importance of bandwidth control mechanisms for scheduling on large scale heterogeneous platforms
We study three scheduling problems (file redistribution, independent tasks scheduling and broadcasting) on large scale heterogeneous platforms under the Bounded Multi-port Model. I...
Olivier Beaumont, Hejer Rejeb
119
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RECOMB
2002
Springer
16 years 3 months ago
A bayesian approach to transcript estimation from gene array data: the BEAM technique
We present a new statistically optimal approach to estimate transcript levels and ratios from one or more gene array experiments. The Bayesian Estimation of Array Measurements (BE...
Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinald...
144
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ISQED
2008
IEEE
112views Hardware» more  ISQED 2008»
15 years 10 months ago
Robust Analog Design for Automotive Applications by Design Centering with Safe Operating Areas
The effects of random variations during the manufacturing process on devices can be simulated as a variation of transistor parameters. Device degradation, due to temperature or vo...
Udo Sobe, Karl-Heinz Rooch, Andreas Ripp, Michael ...