Information Theory and Statistical Learning More Books by Frank Emmert-Streib & Matthias Dehmer

Applied Statistics for Network Biology Applied Statistics for Network Biology
Applied Statistics for Network Biology
2011
Quantitative Graph Theory Quantitative Graph Theory
Quantitative Graph Theory
2014
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
2023
Modern and Interdisciplinary Problems in Network Science Modern and Interdisciplinary Problems in Network Science
Modern and Interdisciplinary Problems in Network Science
2018
Entrepreneurial Complexity Entrepreneurial Complexity
Entrepreneurial Complexity
2019
Big Data of Complex Networks Big Data of Complex Networks
Big Data of Complex Networks
2016
Frontiers in Data Science Frontiers in Data Science
Frontiers in Data Science
2017
Computational Network Analysis with R Computational Network Analysis with R
Computational Network Analysis with R
2016
Mathematical Foundations and Applications of Graph Entropy Mathematical Foundations and Applications of Graph Entropy
Mathematical Foundations and Applications of Graph Entropy
2016
Computational Network Theory Computational Network Theory
Computational Network Theory
2015
Advances in Network Complexity Advances in Network Complexity
Advances in Network Complexity
2013
Towards an Information Theory of Complex Networks Towards an Information Theory of Complex Networks
Towards an Information Theory of Complex Networks
2011