PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Mikio braun

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Number of EPrints submitted by this user: 8

On Relevant Dimensions in Kernel Feature Spaces
Mikio braun, Joachim Buhmann and Klaus-Robert Müller
Journal of Machine Learning Research Volume 9, pp. 1875-1908, 2008. ISSN 1533-7928

Estimating Noise and Dimensionality in BCI Data Sets: Towards BCI Illiteracy Comprehension
Claudia Sannelli, Mikio braun, Michael Tangermann and Klaus-Robert Müller
In: 4th International Brain-Computer Interface Workshop and Training Course 2008, 18-20 Sep 2008, Graz, Austria.

Improving BCI performance by task-related trial pruning
Claudia Sannelli, Mikio braun and Klaus-Robert Müller
Neural Networks Volume 22, Number 9, pp. 1295-1304, 2009. ISSN 0893-6080

Contextualized Text Classification Using Wikipedia
Pascal Lehwark, Ulf Brefeld, Mikio braun and Klaus-Robert Müller
In: KDD 2010: 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, July 25-28, 2010, Washington, DC, USA.

Layer-wise Analysis of Deep Networks with Gaussian Kernels
Gregoire Montavon, Mikio Braun and Klaus-Robert Müller
Advances in Neural Information Processing Systems (NIPS) Volume 23, pp. 1678-1686, 2010.

Kernel Analysis of Deep Networks
Gregoire Montavon, Mikio braun and Klaus-Robert Müller
Journal of Machine Learning Research (JMLR) Volume 12, pp. 2563-2581, 2011. ISSN 1533-7928

Importance of Cross-Layer Cooperation for Learning Deep Feature Hierarchies
Gregoire Montavon, Mikio braun and Klaus-Robert Müller
In: A common property of hierarchical models of the brain is their capacity to in- tegrate bottom-up and top-down information in order to distill the task-relevant information from the sensory noise. In this paper, we argue that such coopera- tion between upp, 16 Dec 2011, Granda, Spain.

Fast Cross-Validation via Sequential Analysis
Tammo Krüger, Danny Panknin and Mikio braun
In: Big Learning: Algorithms, Systems, and Tools for Learning at Scale, 16 Dec 2011, Granda, Spain.