Machine Learning, Volume 87

Volume 87, Number 1, April 2012

• Manfred K. Warmuth, Dima Kuzmin:
  Online variance minimization. 1-32
  
• Laurens van der Maaten, Geoffrey E. Hinton:
  Visualizing non-metric similarities in multiple maps. 33-55
  
• Santiago Ontañón, Enric Plaza:
  Similarity measures over refinement graphs. 57-92
  
• Fei Zheng, Geoffrey I. Webb, Pramuditha Suraweera, Liguang Zhu:
  Subsumption resolution: an efficient and effective technique for semi-naive Bayesian learning. 93-125
  

Volume 87, Number 2, May 2012

• Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes:
  Experiment databases - A new way to share, organize and learn from experiments. 127-158
  
• Hilbert J. Kappen, Vicenç Gómez, Manfred Opper:
  Optimal control as a graphical model inference problem. 159-182
  
• David Silver, Richard S. Sutton, Martin Müller:
  Temporal-difference search in computer Go. 183-219
  
• Bin Li, Peilin Zhao, Steven C. H. Hoi, Vivekanand Gopalkrishnan:
  PAMR: Passive aggressive mean reversion strategy for portfolio selection. 221-258
  

Volume 87, Number 3, June 2012

• Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri:
  Multi-output learning via spectral filtering. 259-301
  
• Gui-Bo Ye, Xiaohui Xie:
  Learning sparse gradients for variable selection and dimension reduction. 303-355
  
• Matthias Reif, Faisal Shafait, Andreas Dengel:
  Meta-learning for evolutionary parameter optimization of classifiers. 357-380
  
• Tapio Pahikkala, Hanna Suominen, Jorma Boberg:
  Efficient cross-validation for kernelized least-squares regression with sparse basis expansions. 381-407
  

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