Machine Learning, Volume 50, 2003

Volume 50, Number 1-2, January - February 2003

• Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan:
  An Introduction to MCMC for Machine Learning. 5-43
  
• Frank Dellaert, Steven M. Seitz, Charles E. Thorpe, Sebastian Thrun:
  EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence. 45-71
  
• Ernest Fokoué, D. M. Titterington:
  Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation. 73-94
  
• Nir Friedman, Daphne Koller:
  Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks. 95-125
  
• Paolo Giudici, Robert Castelo:
  Improving Markov Chain Monte Carlo Model Search for Data Mining. 127-158
  
• Christopher Holmes, Dave Denison:
  Classification with Bayesian MARS. 159-173
  
• Kathryn B. Laskey, James W. Myers:
  Population Markov Chain Monte Carlo. 175-196
  
• Herbert K. H. Lee:
  A Noninformative Prior for Neural Networks. 197-212
  

Volume 50, Number 3, March 2003

• Ryszard S. Michalski, Pavel Brazdil:
  Introduction. 219-222
  
• Ljupco Todorovski, Saso Dzeroski:
  Combining Classifiers with Meta Decision Trees. 223-249
  
• Pavel Brazdil, Carlos Soares, Joaquim Pinto da Costa:
  Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results. 251-277
  
• AnHai Doan, Pedro Domingos, Alon Y. Halevy:
  Learning to Match the Schemas of Data Sources: A Multistrategy Approach. 279-301
  
• Luís Torgo, Joaquim Pinto da Costa:
  Clustered Partial Linear Regression. 303-319
  
• Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda:
  Complete Mining of Frequent Patterns from Graphs: Mining Graph Data. 321-354
  

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