K. Müller

An introduction to kernel-based learning algorithms

K. Müller, Gunnar Rätsch, Koji Tsuda et al. · IEEE Transactions on Neural Networks · 2001 · 3.5K citations

Computing, Computer Science, Data Mining +13

SchNet – A deep learning architecture for molecules and materials

Kristof T. Schütt, Huziel E. Sauceda, Pieter-Jan Kindermans et al. · The Journal of Chemical Physics · 2018 · 2.2K citations · Full text

Natural Sciences, Chemistry, Materials Science +16

Quantum-chemical insights from deep tensor neural networks

Kristof T. Schütt, Farhad Arbabzadah, Stefan Chmiela et al. · Nature Communications · 2017 · 1.5K citations · Full text

Natural Sciences, Bioinformatics, Chemistry +17

Soft Margins for AdaBoost

Gunnar Rätsch, Takashi Onoda, K. Müller · Machine Learning · 2001 · 1.3K citations · Full text

Input space versus feature space in kernel-based methods

Bernhard Schölkopf, Christopher J. C. Burges, Phil Knirsch et al. · IEEE Transactions on Neural Networks · 1999 · 1.2K citations

Computing, Computer Science, Computational Geometry +12