Mikio L. Braun
Mikio L. Braun
TU Berlin (allumni)
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Citat de
Citat de
Stability-based validation of clustering solutions
T Lange, V Roth, ML Braun, JM Buhmann
Neural computation 16 (6), 1299-1323, 2004
The need for open source software in machine learning
S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ...
JMLR 8, 2443-2466, 2007
Improving human performance in a real operating environment through real-time mental workload detection
J Kohlmorgen, G Dornhege, ML Braun, B Blankertz, KR Müller, G Curio, ...
A resampling approach to cluster validation
V Roth, T Lange, M Braun, J Buhmann
Compstat: Proceedings in Computational Statistics, 123-128, 2002
On relevant dimensions in kernel feature spaces
ML Braun, JM Buhmann, KR Müller
The Journal of Machine Learning Research 9, 1875-1908, 2008
Kernel Analysis of Deep Networks.
G Montavon, ML Braun, KR Müller
Journal of Machine Learning Research 12 (9), 2011
Stability-based model selection
T Lange, M Braun, V Roth, J Buhmann
Advances in neural information processing systems 15, 2002
Accurate error bounds for the eigenvalues of the kernel matrix
ML Braun
The Journal of Machine Learning Research 7, 2303-2328, 2006
Hidden markov anomaly detection
N Görnitz, M Braun, M Kloft
International conference on machine learning, 1833-1842, 2015
Fast cross-validation via sequential testing.
T Krueger, D Panknin, ML Braun
J. Mach. Learn. Res. 16 (1), 1103-1155, 2015
Analyzing local structure in kernel-based learning: Explanation, complexity, and reliability assessment
G Montavon, ML Braun, T Krueger, KR Muller
IEEE Signal Processing Magazine 30 (4), 62-74, 2013
Kernelizing PLS, degrees of freedom, and efficient model selection
N Krämer, ML Braun
Proceedings of the 24th International Conference on Machine learning, 441-448, 2007
Spectral properties of the kernel matrix and their relation to kernel methods in machine learning
ML Braun
Universitäts-und Landesbibliothek Bonn, 2005
Estimating noise and dimensionality in BCI data sets: Towards illiteracy comprehension
C Sannelli, M Braun, M Tangermann, KR Müller
na 1, 1-6, 2008
Learning and evaluation in presence of non-iid label noise
N Görnitz, A Porbadnigk, A Binder, C Sannelli, M Braun, KR Müller, ...
Artificial Intelligence and Statistics, 293-302, 2014
Improving BCI performance by task-related trial pruning
C Sannelli, M Braun, KR Müller
Neural Networks 22 (9), 1295-1304, 2009
Stability-based model order selection in clustering with applications to gene expression data
V Roth, ML Braun, T Lange, JM Buhmann
Artificial Neural Networks—ICANN 2002: International Conference Madrid …, 2002
Toward brain-computer interfacing
J Kohlmorgen, G Dornhege, M Braun, B Blankertz, KR Müller, G Curio, ...
MIT Press, 2007
Extracting latent brain states—Towards true labels in cognitive neuroscience experiments
AK Porbadnigk, N Görnitz, C Sannelli, A Binder, M Braun, M Kloft, ...
NeuroImage 120, 225-253, 2015
Layer-wise analysis of deep networks with Gaussian kernels
G Montavon, KR Müller, M Braun
Advances in neural information processing systems 23, 2010
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