Electrochemically active polymers for rechargeable batteries
P Novák, K Müller, KSV Santhanam, O Haas - Chemical Reviews, 1997 - ACS Publications
Electrochemical energy storage systems (batteries) have a tremendous role in technical
applications. They are used in computers, communication devices, industrial controls …
applications. They are used in computers, communication devices, industrial controls …
Fluorine in pharmaceuticals: looking beyond intuition
K Muller, C Faeh, F Diederich - science, 2007 - science.org
Fluorine substituents have become a widespread and important drug component, their
introduction facilitated by the development of safe and selective fluorinating agents …
introduction facilitated by the development of safe and selective fluorinating agents …
[HTML][HTML] Methods for interpreting and understanding deep neural networks
This paper provides an entry point to the problem of interpreting a deep neural network
model and explaining its predictions. It is based on a tutorial given at ICASSP 2017. As a …
model and explaining its predictions. It is based on a tutorial given at ICASSP 2017. As a …
Welcome to the Tidyverse
At a high level, the tidyverse is a language for solving data science challenges with R code.
Its primary goal is to facilitate a conversation between a human and a computer about data …
Its primary goal is to facilitate a conversation between a human and a computer about data …
Possible highTc superconductivity in the Ba−La−Cu−O system
JG Bednorz, KA Müller - Zeitschrift für Physik B Condensed Matter, 1986 - Springer
Metallic, oxygen-deficient compounds in the Ba− La− Cu− O system, with the composition
Ba x La 5− x Cu 5 O 5 (3− y) have been prepared in polycrystalline form. Samples with x= 1 …
Ba x La 5− x Cu 5 O 5 (3− y) have been prepared in polycrystalline form. Samples with x= 1 …
An introduction to kernel-based learning algorithms
This chapter provides an introduction to support vector machines, kernel Fisher discriminant
analysis, and kernel principal component analysis as examples for successful kernel-based …
analysis, and kernel principal component analysis as examples for successful kernel-based …
Nonlinear component analysis as a kernel eigenvalue problem
A new method for performing a nonlinear form of principal component analysis is proposed.
By the use of integral operator kernel functions, one can efficiently compute principal …
By the use of integral operator kernel functions, one can efficiently compute principal …
Efficient backprop
The convergence of back-propagation learning is analyzed so as to explain common
phenomenon observedb y practitioners. Many undesirable behaviors of backprop can be …
phenomenon observedb y practitioners. Many undesirable behaviors of backprop can be …
[BOOK][B] Applied regression analysis and other multivariable methods
DG Kleinbaum, LL Kupper, KE Muller, A Nizam - 1988 - cyberleninka.org
Applied Regression Analysis and Other Multivariable Methods Page 1 THIRD EDITION
Applied Regression Analysis and Other Multivariable Methods David G. Kleinbaum Emory …
Applied Regression Analysis and Other Multivariable Methods David G. Kleinbaum Emory …
[HTML][HTML] On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation
Understanding and interpreting classification decisions of automated image classification
systems is of high value in many applications, as it allows to verify the reasoning of the …
systems is of high value in many applications, as it allows to verify the reasoning of the …