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AAAI
2008
15 years 9 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...
ICCAD
1998
IEEE
95views Hardware» more  ICCAD 1998»
15 years 11 months ago
Efficient analog circuit synthesis with simultaneous yield and robustness optimization
This paper presents an efficient statistical design methodology that allows simultaneous sizing for performance and optimization for yield and robustness of analog circuits. The s...
Geert Debyser, Georges G. E. Gielen
INFOCOM
2006
IEEE
16 years 24 days ago
A General Model and Analysis of Physical Layer Capture in 802.11 Networks
Abstract— While packet capture has been observed in real implementations of 802.11 devices, there is a lack of accurate models that describe the phenomenon. We present a general ...
Hoon Chang, Vishal Misra, Dan Rubenstein
AIME
2003
Springer
15 years 12 months ago
Constraint Reasoning in Deep Biomedical Models
Objective: Deep biomedical models are often expressed by means of differential equations. Despite their expressive power, they are difficult to reason about and make decisions, g...
Jorge Cruz, Pedro Barahona
177
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WCE
2007
15 years 8 months ago
Procedures of Parameters' estimation of AR(1) models into lineal state-space models
—The objective of this paper is to study how algorithms of optimization affect the parametersestimation of Autoregressive AR(1)Models. In our research we have represented the AR...
Rouhia Noomene