title: Infinite mixture-of-experts model for sparse survival regression with application to breast cancer.
authors.affiliation: Department of Computer Science, University of Basel, Bernoullistr, 16, CH-4056 Basel, Switzerland. sudhir.raman@unibas.ch
authors.forename: Sudhir
authors.initials: S
authors.lastname: Raman
authors.forename: Thomas J
authors.initials: TJ
authors.lastname: Fuchs
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Wild
authors.forename: Edgar
authors.initials: E
authors.lastname: Dahl
authors.forename: Joachim M
authors.initials: JM
authors.lastname: Buhmann
authors.forename: Volker
authors.initials: V
authors.lastname: Roth
mesh_terms: D001499:Bayes Theorem; D001943:Breast Neoplasms / Q000175:diagnosis / Q000401:mortality*; D016000:Cluster Analysis; D015331:Cohort Studies; D003198:Computer Simulation; D016208:Databases, Factual; D005260:Female; D006801:Humans; D053208:Kaplan-Meier Estimate; D008390:Markov Chains; D015233:Models, Statistical; D009010:Monte Carlo Method; D011379:Prognosis; D016016:Proportional Hazards Models; D012044:Regression Analysis; D015203:Reproducibility of Results