cam a22 4 4500 357394232 CHVBK 20201023205226.0 160226s2015 enk 00 eng|d 978-0-12-801522-3 http://catalogue.bnf.fr/ark:/12148/cb446400288 uri (NEBIS)010453624 (RERO)R008347009 OPELS SzZuIDS NEBIS ETH-HCI s1in rero Machine learning a Bayesian and optimization perspective Sergios Theodoridis Amsterdam Elsevier Academic Press 2015 1050 S. Ill. "This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches--which are based on optimization techniques--together with the Bayesian inference approach, whose essence lies in the use of a hierarchy of probabilistic models"--Publisher's website Print version record COMPUTERS / General bisacsh Machine learning Bayesian statistical decision theory Mathematical optimization Apprentissage automatique (RERO)A021023180 rero Optimisation mathématique (RERO)A021002470 rero Statistique bayésienne (RERO)A021033950 rero Theodoridis Sergios BK020000 XK020000 XK020000 Metadata rights reserved rero RERO RE01046 RE01046 RE010460003 DIUF 1.8.1 TIB 11115 NEBIS E33 E33 E33BI 571 B (418411) NEBIS 700 1- Theodoridis Sergios RERO 100 1- Theodoridis Sergios (IDREF)068982178 cre SWISSBIB 357394232