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BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
13 years 9 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
SIGMOD
1996
ACM
97views Database» more  SIGMOD 1996»
13 years 11 months ago
Bifocal Sampling for Skew-Resistant Join Size Estimation
This paper introduces bifocal sampling, a new technique for estimating the size of an equi-join of two relations. Bifocal sampling classi es tuples in each relation into two group...
Sumit Ganguly, Phillip B. Gibbons, Yossi Matias, A...
IWANN
1999
Springer
13 years 12 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
ICASSP
2011
IEEE
12 years 11 months ago
Empirical divergence maximization for quantizer design: An analysis of approximation error
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
Michael A. Lexa
MICRO
2008
IEEE
103views Hardware» more  MICRO 2008»
14 years 2 months ago
Testudo: Heavyweight security analysis via statistical sampling
Heavyweight security analysis systems, such as taint analysis and dynamic type checking, are powerful technologies used to detect security vulnerabilities and software bugs. Tradi...
Joseph L. Greathouse, Ilya Wagner, David A. Ramos,...