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AUSDM
2006
Springer
78views Data Mining» more  AUSDM 2006»
15 years 1 months ago
Visualization of Attractive and Repulsive Zones Between Variables
This paper presents a preprocessing step in mining association rules which uses tables to summarize synthetically the way variables interact by highlighting any zones which are at...
Sylvie Guillaume, Leila Nemmiche Alachaher
JMLR
2006
113views more  JMLR 2006»
14 years 9 months ago
Learning the Structure of Linear Latent Variable Models
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
Ricardo Silva, Richard Scheines, Clark Glymour, Pe...
ESTIMEDIA
2004
Springer
15 years 1 months ago
Adaptive spectrum-based variable bit truncation of discrete cosine transform (DCT) for energy-efficient wireless multimedia comm
This paper presents a new adaptive scheme to reduce the computation energy of the discrete cosine transform (DCT) architecture for image/video coding. The scheme employs the noise ...
Feng Liu, Chi-Ying Tsui
CP
2008
Springer
14 years 11 months ago
Probabilistically Estimating Backbones and Variable Bias: Experimental Overview
Backbone variables have the same assignment in all solutions to a given constraint satisfaction problem; more generally, bias represents the proportion of solutions that assign a v...
Eric I. Hsu, Christian J. Muise, J. Christopher Be...
BIOCOMP
2006
14 years 11 months ago
Learning Genetic and Gene Bayesian Networks with Hidden Variables: Bilayer Verification Algorithm
To improve the recovery of gene-gene and marker-gene (eQTL) interaction networks from microarray and genetic data, we propose a new procedure for learning Bayesian networks. This a...
Jason E. Aten