Mikio L. Braun
According to our database1, Mikio L. Braun authored at least 25 papers between 1998 and 2017.
Legend:Book In proceedings Article PhD thesis Other
Accurate Maximum-Margin Training for Parsing With Context-Free Grammars.
IEEE Trans. Neural Netw. Learning Syst., 2017
Extracting latent brain states - Towards true labels in cognitive neuroscience experiments.
Fast cross-validation via sequential testing.
Journal of Machine Learning Research, 2015
Hidden Markov Anomaly Detection.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Learning and Evaluation in Presence of Non-i.i.d. Label Noise.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Analyzing Local Structure in Kernel-Based Learning: Explanation, Complexity, and Reliability Assessment.
IEEE Signal Process. Mag., 2013
Deep Boltzmann Machines as Feed-Forward Hierarchies.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Quantifying spatiotemporal dynamics of twitter replies to news feeds.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Canonical Trends: Detecting Trend Setters in Web Data.
Proceedings of the 29th International Conference on Machine Learning, 2012
Kernel Analysis of Deep Networks.
Journal of Machine Learning Research, 2011
Layer-wise analysis of deep networks with Gaussian kernels.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Improving BCI performance by task-related trial pruning.
Neural Networks, 2009
Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
On Relevant Dimensions in Kernel Feature Spaces.
Journal of Machine Learning Research, 2008
The Need for Open Source Software in Machine Learning.
Journal of Machine Learning Research, 2007
Kernelizing PLS, degrees of freedom, and efficient model selection.
Proceedings of the Machine Learning, 2007
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix.
Journal of Machine Learning Research, 2006
Denoising and Dimension Reduction in Feature Space.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information.
Proceedings of the Pattern Recognition, 2006
Spectral properties of the kernel matrix and their relation to kernel methods in machine learning.
PhD thesis, 2005
Stability-Based Validation of Clustering Solutions.
Neural Computation, 2004
Stability-Based Model Selection.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data.
Proceedings of the Artificial Neural Networks, 2002
The Noisy Euclidean Traveling Salesman Problem and Learning.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Retina implant adjustment with reinforcement learning.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998