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ORCIDMachine 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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