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» Understanding the Power of Clause Learning
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BMCBI
2007
194views more  BMCBI 2007»
13 years 7 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
ICDE
2003
IEEE
160views Database» more  ICDE 2003»
14 years 9 months ago
HD-Eye - Visual Clustering of High dimensional Data
Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for g...
Alexander Hinneburg, Daniel A. Keim, Markus Wawryn...
EVOW
2010
Springer
14 years 2 months ago
Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions
DEODHAR, SUSHAMNA DEODHAR. Using Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions in Genetic Epidemiology. (Under the direction of Dr. Alison Motsinger-Re...
Sushamna Deodhar, Alison A. Motsinger-Reif
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
14 years 13 days ago
Assessing regret-based preference elicitation with the UTPREF recommendation system
Product recommendation and decision support systems must generally develop a model of user preferences by querying or otherwise interacting with a user. Recent approaches to elici...
Darius Braziunas, Craig Boutilier
DDECS
2007
IEEE
201views Hardware» more  DDECS 2007»
14 years 2 months ago
Built in Defect Prognosis for Embedded Memories
: As scan compression replaces the traditional scan it is important to understand how it works with power. DFT MAX represents one of the two primary scan compression solutions used...
Prashant Dubey, Akhil Garg, Sravan Kumar Bhaskaran...