„Bayesian machine learning“

Suchergebnisse

427 Treffer

• Machine learning and knowledge discovery in databases
  2013 Springer
• Machine learning and knowledge discovery in databases
  2013 Springer
• Empirical inference – Festschrift in honor of Vladimir N. Vapnik
  Schölkopf, Bernhard ; Vapnik, Vladimir Naumovich ; Luo, Zhiyuan ; Vovk, Vladimir 2013 Springer
• Machine learning and knowledge discovery in databases
  2013 Springer
• The Qurʾanic verses – history, computer-supported reconstruction of the order of revelation, examining the concept of abrogation
  Nassourou, Mohamadou 2013 AVM
• Approaches to probabilistic model learning for mobile manipulation robots
  Sturm, Jürgen 2013 Springer
• The Manual of Strategic Economic Decision Making – Using Bayesian Belief Networks to Solve Complex Problems
  Grover, Jeff 2016 Springer International Publishing
• Business intelligence – second European summer school ; tutorial lectures
  Aufaure, Marie-Aude ; Zimányi, Esteban 2013 Springer
• Consensus Policies to Solve Bioinformatic Problems – Through Bayesian Network Classifiers and Estimation of Distribution Algorithms
  Armañanzas, Rubén 2012 LAP LAMBERT Academic Publishing
• Machine learning and knowledge discovery in databases
  2012 Springer
• Machine learning and knowledge discovery in databases
  2012 Springer
• Learning Bayesian Networks From Timed Data – An application of the Timed Observations Theory
  Le Goc, Marc ; Ahdab, Ahmad 2012 LAP LAMBERT Academic Publishing
• Discrete optimisation in machine learning – learning of Bayesian network structures and conditional independence implication
  Lindner, Silvia
• BNC-VLA: bayesian network structure learning using a team of variable-action set learning automata
  Gheisari, S. ; Meybodi, M. R. ; Dehghan, M. ; Ebadzadeh, M. M.
• Hybrid Random Fields – A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models
  Freno, Antonino ; Trentin, Edmondo 2011 Springer Berlin Heidelberg
• Hybrid random fields – a scalable approach to structure and parameter learning in probabilistic graphical models
  Freno, Antonino ; Trentin, Edmondo 2011 Springer
• Genome-wide prediction of discrete traits using bayesian regressions and machine learning
  González-Recio, Oscar ; Forni, Selma
• Development of a literature informed Bayesian machine learning method for feature extraction and classification
  Madahian, Behrouz ; Deng, Lih Yuan ; Homayouni, Ramin
• Neural information processing
  2010 Springer
• Neural information processing
  2010 Springer