Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
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[1] M. Otto. Potential pattern recognition in chemical and medical division making : by D. Coomans and I. Broeckaert , 1987 .
[2] A. Höskuldsson. PLS regression methods , 1988 .
[3] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[4] David L. Dowe,et al. MML Inference of Oblique Decision Trees , 2004, Australian Conference on Artificial Intelligence.
[5] S. D. Jong. SIMPLS: an alternative approach to partial least squares regression , 1993 .
[6] A. Boulesteix. Statistical Applications in Genetics and Molecular Biology PLS Dimension Reduction for Classification with Microarray Data , 2011 .
[7] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[8] B. Kowalski,et al. Partial least-squares regression: a tutorial , 1986 .
[9] Barbara J. Wold,et al. Mining gene expression data by interpreting principal components , 2006, BMC Bioinformatics.
[10] Danh V. Nguyen,et al. On partial least squares dimension reduction for microarray-based classification: a simulation study , 2004, Comput. Stat. Data Anal..
[11] Yoav Freund,et al. Boosting a weak learning algorithm by majority , 1990, COLT '90.
[12] Ramón Díaz-Uriarte,et al. Gene selection and classification of microarray data using random forest , 2006, BMC Bioinformatics.
[13] Usama M. Fayyad,et al. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning , 1993, IJCAI.
[14] Aik Choon Tan,et al. Ensemble machine learning on gene expression data for cancer classification. , 2003, Applied bioinformatics.
[15] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[16] J. M. Deutsch,et al. Evolutionary algorithms for finding optimal gene sets in microarray prediction , 2003, Bioinform..
[17] David Hinkley,et al. Bootstrap Methods: Another Look at the Jackknife , 2008 .
[18] Thanyaluk Jirapech-umpai,et al. Classifying Gene Expression Data using an Evolutionary Algorithm , 2004 .
[19] David L. Dowe,et al. Decision Forests with Oblique Decision Trees , 2006, MICAI.
[20] Aiko M. Hormann,et al. Programs for Machine Learning. Part I , 1962, Inf. Control..
[21] Leo Breiman,et al. Random Forests , 2001, Machine Learning.