Volker Roth

Volker Roth, Koji Tsuda, K. Tsuda, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Scalable and Secure Global Name Services for Mobile Agents

Volker Roth, 2000 .

On the information and representation of non-Euclidean pairwise data

Joachim M. Buhmann, Volker Roth, Klaus-Robert Müller, 2006, Pattern Recognit..

Deep Archetypal Analysis pdf

Volker Roth, Maxim Samarin, Mario Wieser, 2019, GCPR.

Estimating Causal Effects With Partial Covariates For Clinical Interpretability pdf

Volker Roth, Mario Wieser, Sonali Parbhoo, 2018, ArXiv.

Probabilistic Inference of Viral Quasispecies Subject to Recombination

Volker Roth, Eran Halperin, Armin Töpfer, 2012, RECOMB.

Copula Mixture Model for Dependency-seeking Clustering pdf

Volker Roth, Mélanie Rey, V. Roth, 2012, ICML.

Structure Preserving Embedding of Dissimilarity Data

Joachim M. Buhmann, Volker Roth, Thomas J. Fuchs, 2013, Similarity-Based Pattern Analysis and Recognition.

Automatisierte Artenbestimmung von Insekten durch Bildanalyse

Volker Roth, Stefan Schröder, Volker Steinhage, 2000, Künstliche Intell..

Feature Selection in Clustering Problems

Volker Roth, Tilman Lange, V. Roth, 2003, NIPS.

A Hidden Markov Model for de Novo Peptide Sequencing

Joachim M. Buhmann, Volker Roth, Peter Widmayer, 2004, NIPS.

Exploiting Low-Level Image Segmentation for Object Recognition

Björn Ommer, Volker Roth, 2006, DAGM-Symposium.

Outlier Detection with One-class Kernel Fisher Discriminants

Volker Roth, V. Roth, 2004, NIPS.

Adaptive bandwidth selection for biomarker discovery in mass spectrometry

Joachim M. Buhmann, Volker Roth, Bernd Fischer, 2009, Artif. Intell. Medicine.

The Group-Lasso for generalized linear models: uniqueness of solutions and efficient algorithms

Volker Roth, Bernd Fischer, Volker Roth, 2008, ICML '08.

Recovering networks from distance data

Volker Roth, Karin J. Metzner, Sandhya Prabhakaran, 2012, Machine Learning.

Going Metric: Denoising Pairwise Data

Joachim M. Buhmann, Volker Roth, Klaus-Robert Müller, 2002, NIPS.

Kernel methods for regression and classification

Volker Roth, Volker Roth, 2001 .

Infinite mixture-of-experts model for sparse survival regression with application to breast cancer

Joachim M. Buhmann, Volker Roth, Edgar Dahl, 2010, BMC Bioinformatics.

Meta-Gaussian Information Bottleneck

Volker Roth, Mélanie Rey, 2012, NIPS.

Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data

Joachim M. Buhmann, Volker Roth, Mikio L. Braun, 2002, ICANN.

Probabilistic clustering of time-evolving distance data

Gunnar Rätsch, Volker Roth, Marius Kloft, 2015, Machine Learning.

Kernel Fisher Discriminants for Outlier Detection

Volker Roth, V. Roth, 2006, Neural Computation.

Sparse Kernel Regressors

Volker Roth, V. Roth, 2001, ICANN.

Probabilistic Inference of Viral Quasispecies Subject to Recombination

Volker Roth, Eran Halperin, Armin Töpfer, 2013, J. Comput. Biol..

Pattern Recognition Combining Feature- and Pixel-Based Classification Within a Real World Application

Volker Roth, Stefan Schröder, Volker Steinhage, 1999, DAGM-Symposium.

Causal Deep Information Bottleneck pdf

Volker Roth, Mario Wieser, Sonali Parbhoo, 2018, ArXiv.

HIV Haplotype Inference Using a Propagating Dirichlet Process Mixture Model

Volker Roth, Niko Beerenwinkel, Sandhya Prabhakaran, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

The Group-Lasso: l 1, INFINITY Regularization versus l 1, 2 Regularization.

Volker Roth, Julia E. Vogt, 2010 .

HIV Haplotype Inference Using a Propagating Dirichlet Process Mixture Model.

Volker Roth, Niko Beerenwinkel, Sandhya Prabhakaran, 2013, IEEE/ACM transactions on computational biology and bioinformatics.