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212
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PVLDB
2010
220views more  PVLDB 2010»
14 years 9 months ago
Fast Incremental and Personalized PageRank
In this paper, we analyze the efficiency of Monte Carlo methods for incremental computation of PageRank, personalized PageRank, and similar random walk based methods (with focus o...
Bahman Bahmani, Abdur Chowdhury, Ashish Goel
132
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AMAI
2004
Springer
15 years 8 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
109
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GPEM
2008
98views more  GPEM 2008»
15 years 2 months ago
Sporadic model building for efficiency enhancement of the hierarchical BOA
Efficiency enhancement techniques--such as parallelization and hybridization--are among the most important ingredients of practical applications of genetic and evolutionary algori...
Martin Pelikan, Kumara Sastry, David E. Goldberg
104
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BMCBI
2006
124views more  BMCBI 2006»
15 years 2 months ago
Detection of divergent genes in microbial aCGH experiments
Background: Array-based comparative genome hybridization (aCGH) is a tool for rapid comparison of genomes from different bacterial strains. The purpose of such analysis is to dete...
Lars Snipen, Dirk Repsilber, Ludvig Nyquist, &Arin...
153
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CVPR
2011
IEEE
14 years 10 months ago
Tracking 3D Human Pose with Large Root Node Uncertainty
Representing articulated objects as a graphical model has gained much popularity in recent years, often the root node of the graph describes the global position and orientation of...
Ben Daubney, Xianghua Xie