Follow
Philipp Thomann
Title
Cited by
Cited by
Year
liquidSVM: A Fast and Versatile SVM package
I Steinwart, P Thomann
arXiv preprint arXiv:1702.06899, 2017
462017
Spatial Decompositions for Large Scale SVMs
P Thomann, I Steinwart, I Blaschzyk, M Meister
arXiv preprint arXiv:1612.00374, 2016
212016
Continuity and anomalous fluctuations in random walks in dynamic random environments: numerics, phase diagrams and conjectures
L Avena, P Thomann
Journal of Statistical Physics 147 (6), 1041-1067, 2012
172012
Learning with Hierarchical Gaussian Kernels
I Steinwart, P Thomann, N Schmid
arXiv preprint arXiv:1612.00824, 2016
162016
Adaptive Clustering Using Kernel Density Estimators
I Steinwart, BK Sriperumbudur, P Thomann
arXiv preprint arXiv:1708.05254, 2017
102017
Towards an axiomatic approach to hierarchical clustering of measures.
P Thomann, I Steinwart, N Schmid
Journal of Machine Learning Research 16, 1949-2002, 2015
62015
The system can't perform the operation now. Try again later.
Articles 1–6