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» Clustering by Regression Analysis
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175
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IWANN
2009
Springer
16 years 1 months ago
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
181
Voted
ICSM
2008
IEEE
16 years 1 months ago
AutoFlow: An automatic debugging tool for AspectJ software
Aspect-oriented programming (AOP) is gaining popularity with the wider adoption of languages such as AspectJ. During AspectJ software evolution, when regression tests fail, it may...
Sai Zhang, Zhongxian Gu, Yu Lin, Jianjun Zhao
EMSOFT
2004
Springer
16 years 4 days ago
Model based estimation and verification of mobile device performance
Performance is an important quality attribute that needs to be and managed proactively. Abstract models of the system are not very useful if they do not produce reasonably accurat...
Gopalakrishna Raghavan, Ari Salomaki, Raimondas Le...
AAAI
2008
15 years 9 months ago
Sparse Projections over Graph
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
Deng Cai, Xiaofei He, Jiawei Han
PRL
2006
98views more  PRL 2006»
15 years 6 months ago
Data complexity assessment in undersampled classification of high-dimensional biomedical data
Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
Richard Baumgartner, Ray L. Somorjai