liquidSVM: A Fast and Versatile SVM package I Steinwart, P Thomann arXiv preprint arXiv:1702.06899, 2017 | 51 | 2017 |
Spatial Decompositions for Large Scale SVMs P Thomann, I Steinwart, I Blaschzyk, M Meister arXiv preprint arXiv:1612.00374, 2016 | 22 | 2016 |
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 | 19 | 2012 |
Learning with Hierarchical Gaussian Kernels I Steinwart, P Thomann, N Schmid arXiv preprint arXiv:1612.00824, 2016 | 17 | 2016 |
Adaptive Clustering Using Kernel Density Estimators I Steinwart, BK Sriperumbudur, P Thomann arXiv preprint arXiv:1708.05254, 2017 | 10 | 2017 |
Towards an axiomatic approach to hierarchical clustering of measures. P Thomann, I Steinwart, N Schmid Journal of Machine Learning Research 16, 1949-2002, 2015 | 6 | 2015 |