A Bayesian approach to joint feature selection and classifier design - Krishnapuram, B.; Harternink, A.J.; Carin, L.; Figueiredo, M.A.T. (IEEE transactions on pattern analysis and machine intelligence, 2004)
Keywords: Algorithms; Artificial Intelligence; automatic relevance determination; Bayes Theorem; Bayesian methods; Biomarkers, Tumor - genetics; Cluster Analysis; Colonic Neoplasms - diagnosis; Colonic Neoplasms - genetics; Computer Simulation; Diagnosis, Computer-Assisted - methods; Distribution functions; EM algorithm; feature selection; Gene Expression Profiling - methods; Humans; Index Terms- Pattern recognition; Information Storage and Retrieval - methods; Kernel; Leukemia - diagnosis; Leukemia - genetics; Models, Biological; Models, Statistical; Pattern Recognition, Automated - methods; Polynomials; relevance vector machines; Reproducibility of Results; Sensitivity and Specificity; sparse probit regression; sparsity; Statistical learning; Supervised learning; Support vector machine classification; Support vector machines; Testing; Training data