# 2006

M. Bethge

BibTex

**Factorial coding of natural images: How effective are linear model in removing higher-order dependencies?***Journal of the Optical Society of America A, 2006*BibTex

F. H. Sinz and
B. Schölkopf

#linear programming, #logical constraints, #covering set

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**Minimal Logical Constraint Covering Sets***Max Planck Institute for Biological Cybernetics, 2006*#linear programming, #logical constraints, #covering set

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J. Weston,
R. Collobert,
F. Sinz,
L. Bottou, and
V. Vapnik

#cccp optimization, #svms, #semi-supervised learning, #transductive learning

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**Inference with the Universum***Proceedings of the 23rd international conference on Machine learning ICML 06, 2006*#cccp optimization, #svms, #semi-supervised learning, #transductive learning

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J. Quinonero-Candela,
C. E. Rasmussen,
F. Sinz, and
B. Schoelkopf

#machine learning challenge, #predictive uncertainty

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**Evaluating Predictive Uncertainty Challenge***Machine Learning Challenges, Springer, 2006*#machine learning challenge, #predictive uncertainty

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R. Collobert,
F. Sinz,
J. Weston, and
L. Bottou

#cccp optimization, #svms, #semi-supervised learning, #transductive learning

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**Trading Convexity for Scalability***Proceedings of the 23rd international conference on Machine learning ICML 06, 2006*#cccp optimization, #svms, #semi-supervised learning, #transductive learning

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R. Collobert,
F. Sinz,
J. Weston, and
L. Bottou

#cccp optimization, #svms, #semi-supervised learning, #transductive learning

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**Large scale transductive SVMs***Journal of Machine Learning Research,***7**, 1687-1712, 2006#cccp optimization, #svms, #semi-supervised learning, #transductive learning

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