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» Approximate algorithms for neural-Bayesian approaches
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CISS
2007
IEEE
15 years 1 months ago
Channel-Adaptive Optimal OFDMA Scheduling
Abstract-Joint subcarrier, power and rate allocation in orthogonal frequency division multiple access (OFDMA) scheduling is investigated for both downlink and uplink wireless trans...
Xin Wang, Georgios B. Giannakis, Yingqun Yu
ECCV
2010
Springer
15 years 1 months ago
Geometry Construction from Caustic Images
In this work we investigate an inverse geometry problem. Given a light source, a diffuse plane and a caustic image, how must a geometric object look like (transmissive or reflect...
FSTTCS
2006
Springer
15 years 1 months ago
Testing Probabilistic Equivalence Through Reinforcement Learning
We propose a new approach to verification of probabilistic processes for which the model may not be available. We use a technique from Reinforcement Learning to approximate how far...
Josee Desharnais, François Laviolette, Sami...
ISLPED
1995
ACM
80views Hardware» more  ISLPED 1995»
15 years 1 months ago
Techniques for fast circuit simulation applied to power estimation of CMOS circuits
We present a transistor level power estimator which exploits algorithms for fast circuit simulation to compute the power dissipation of CMOS circuits. The proposed approach uses s...
Premal Buch, Shen Lin, Vijay Nagasamy, Ernest S. K...
CG
2008
Springer
15 years 9 hour ago
Whole-History Rating: A Bayesian Rating System for Players of Time-Varying Strength
Whole-History Rating (WHR) is a new method to estimate the time-varying strengths of players involved in paired comparisons. Like many variations of the Elo rating system, the whol...
Rémi Coulom