An Empirical Study of Software Metrics Selection Using Support Vector Machine
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Taghi M. Khoshgoftaar | Amri Napolitano | Huanjing Wang | T. Khoshgoftaar | Huanjing Wang | Amri Napolitano
[1] S. Cessie,et al. Ridge Estimators in Logistic Regression , 1992 .
[2] Taghi M. Khoshgoftaar,et al. High-Dimensional Software Engineering Data and Feature Selection , 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.
[3] Barry W. Boehm,et al. Finding the right data for software cost modeling , 2005, IEEE Software.
[4] Isabelle Guyon,et al. Design and Analysis of the Causation and Prediction Challenge , 2008, WCCI Causation and Prediction Challenge.
[5] David W. Aha,et al. Instance-Based Learning Algorithms , 1991, Machine Learning.
[6] Chih-Jen Lin,et al. Feature Ranking Using Linear SVM , 2008, WCCI Causation and Prediction Challenge.
[7] A. Zeller,et al. Predicting Defects for Eclipse , 2007, Third International Workshop on Predictor Models in Software Engineering (PROMISE'07: ICSE Workshops 2007).
[8] Marko Grobelnik,et al. Feature selection using linear classifier weights: interaction with classification models , 2004, SIGIR '04.
[9] Lawrence O. Hall,et al. Feature selection for microarray data by AUC analysis , 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.
[10] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[11] Taghi M. Khoshgoftaar,et al. An empirical investigation of filter attribute selection techniques for software quality classification , 2009, 2009 IEEE International Conference on Information Reuse & Integration.
[12] Taghi M. Khoshgoftaar,et al. A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction , 2010, 2010 Ninth International Conference on Machine Learning and Applications.
[13] Yue Jiang,et al. Variance Analysis in Software Fault Prediction Models , 2009, 2009 20th International Symposium on Software Reliability Engineering.
[14] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.
[15] Thibault Helleputte,et al. Robust biomarker identification for cancer diagnosis with ensemble feature selection methods , 2010, Bioinform..
[16] Jesús S. Aguilar-Ruiz,et al. Detecting Fault Modules Applying Feature Selection to Classifiers , 2007, 2007 IEEE International Conference on Information Reuse and Integration.
[17] Hongfang Liu,et al. An Investigation into the Functional Form of the Size-Defect Relationship for Software Modules , 2009, IEEE Transactions on Software Engineering.
[18] Huan Liu,et al. Toward integrating feature selection algorithms for classification and clustering , 2005, IEEE Transactions on Knowledge and Data Engineering.
[19] Huiqing Liu,et al. A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns. , 2002, Genome informatics. International Conference on Genome Informatics.
[20] Taghi M. Khoshgoftaar,et al. An Empirical Study of Learning from Imbalanced Data Using Random Forest , 2007 .
[21] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[22] Pat Langley,et al. Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.
[23] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .