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ICML
2007
IEEE
16 years 4 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger
147
Voted
ICML
2006
IEEE
16 years 4 months ago
Fast direct policy evaluation using multiscale analysis of Markov diffusion processes
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
Mauro Maggioni, Sridhar Mahadevan
116
Voted
VLSID
2008
IEEE
153views VLSI» more  VLSID 2008»
16 years 4 months ago
Total Power Minimization in Glitch-Free CMOS Circuits Considering Process Variation
Compared to subthreshold leakage, dynamic power is normally much less sensitive to the process variation due to its approximately linear relation to the process parameters. Howeve...
Yuanlin Lu, Vishwani D. Agrawal
108
Voted
RECOMB
2008
Springer
16 years 3 months ago
Algorithms for Exploring the Space of Gene Tree/Species Tree Reconciliations
We describe algorithms to explore the space of all possible reconciliations between a gene tree and a species tree. We propose an algorithm for generating a random reconciliation, ...
Jean-Philippe Doyon, Cedric Chauve, Sylvie Hamel
143
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DCC
2003
IEEE
16 years 3 months ago
Estimation-Quantization Geometry Coding Using Normal Meshes
We propose a new algorithm for compressing three-dimensional triangular mesh data used for representing surfaces. We apply the EstimationQuantization (EQ) algorithm originally des...
Sridhar Lavu, Hyeokho Choi, Richard G. Baraniuk