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» Discovering associations with numeric variables
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DIS
2005
Springer
15 years 3 months ago
Practical Algorithms for Pattern Based Linear Regression
We consider the problem of discovering the optimal pattern from a set of strings and associated numeric attribute values. The goodness of a pattern is measured by the correlation b...
Hideo Bannai, Kohei Hatano, Shunsuke Inenaga, Masa...
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
15 years 10 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
IJCNN
2000
IEEE
15 years 2 months ago
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hi...
BMCBI
2011
14 years 4 months ago
Pathway-based analysis using reduced gene subsets in genome-wide association studies
Background: Single Nucleotide Polymorphism (SNP) analysis only captures a small proportion of associated genetic variants in Genome-Wide Association Studies (GWAS) partly due to s...
Jingyuan Zhao, Simone Gupta, Mark Seielstad, Jianj...
CCE
2008
14 years 10 months ago
Bidirectional branch and bound for controlled variable selection: Part I. Principles and minimum singular value criterion
The minimum singular value (MSV) rule is a useful tool for selecting controlled variables (CVs) from the available measurements. However, the application of the MSV rule to large-...
Yi Cao, Vinay Kariwala