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» Messy Genetic Algorithms for Subset Feature Selection
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KDD
2008
ACM
213views Data Mining» more  KDD 2008»
14 years 7 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
SIGIR
2009
ACM
14 years 1 months ago
Reducing long queries using query quality predictors
Long queries frequently contain many extraneous terms that hinder retrieval of relevant documents. We present techniques to reduce long queries to more effective shorter ones tha...
Giridhar Kumaran, Vitor R. Carvalho
COMPSAC
2007
IEEE
13 years 11 months ago
AOP-based automated unit test classification of large benchmarks
Despite the availability of a variety of program analysis tools, evaluation of these tools is difficult, as only few benchmark suites exist. Existing benchmark suites lack the uni...
Cyrille Artho, Zhongwei Chen, Shinichi Honiden
IJCAI
2007
13 years 8 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
IJCAI
2007
13 years 8 months ago
Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
Coronary Heart Disease can be diagnosed by measuring and scoring regional motion of the heart wall in ultrasound images of the left ventricle (LV) of the heart. We describe a comp...
Maleeha Qazi, Glenn Fung, Sriram Krishnan, R&oacut...