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» Probabilistic models for pattern statistics
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 3 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
114
Voted
SIGGRAPH
2000
ACM
15 years 7 months ago
Sampling plausible solutions to multi-body constraint problems
Traditional collision intensive multi-body simulations are difficult to control due to extreme sensitivity to initial conditions or model parameters. Furthermore, there may be mu...
Stephen Chenney, David A. Forsyth
SIGMOD
2001
ACM
104views Database» more  SIGMOD 2001»
16 years 3 months ago
Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data
Approximating the joint data distribution of a multi-dimensional data set through a compact and accurate histogram synopsis is a fundamental problem arising in numerous practical ...
Amol Deshpande, Minos N. Garofalakis, Rajeev Rasto...
132
Voted
BIBE
2007
IEEE
129views Bioinformatics» more  BIBE 2007»
15 years 7 months ago
Statistial Analysis of nucleosome occupancy and histone modification data
Abstract-- In eukaryotic cells, genomic DNAs wrap around beadlike molecules, called nucleosomes, so as to pack more compactly in the nucleus of the cell. The nucleosome is made up ...
Guo-Cheng Yuan, Jun S. Liu
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
15 years 7 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith