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AAAI
2011
13 years 9 months ago
Relational Blocking for Causal Discovery
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
Matthew J. Rattigan, Marc E. Maier, David Jensen
SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
14 years 11 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
TASLP
2010
135views more  TASLP 2010»
14 years 4 months ago
Audio-Based Semantic Concept Classification for Consumer Video
Abstract--This paper presents a novel method for automatically classifying consumer video clips based on their soundtracks. We use a set of 25 overlapping semantic classes, chosen ...
Keansub Lee, Daniel P. W. Ellis
JSS
2006
127views more  JSS 2006»
14 years 9 months ago
An approach to feature location in distributed systems
This paper describes an approach to the feature location problem for distributed systems, that is, to the problem of locating which code components are important in providing a pa...
Dennis Edwards, Sharon Simmons, Norman Wilde
BMCBI
2011
14 years 1 months ago
SeqGene: a comprehensive software solution for mining exome- and transcriptome- sequencing data
Background: The popularity of massively parallel exome and transcriptome sequencing projects demands new data mining tools with a comprehensive set of features to support a wide r...
Xutao Deng