This book reflects more than three decades of research on Cellular Automata (CA), and nearly a decade of work on the application of CA to model biological strings, which forms the foundation of 'A N……続きを見る
This book is a practical review which focuses on computational analysis and on in silico approaches towards the systematic discovery of various key functional gene expression elements in microalgae ……続きを見る
A Theoretical Introduction to Numerical Analysis presents the general methodology and principles of numerical analysis, illustrating these concepts using numerical methods from real analysis, linear……続きを見る
This book shows machine learning enthusiasts and practitioners how to get the best of both worlds by deriving Fisher kernels from deep learning models. In addition, the book shares insight on how to……続きを見る
著者：Daniil Ryabko
出版社： Springer International Publishing
発売日： 2020年10月28日
The author considers the problem of sequential probability forecasting in the most general setting, where the observed data may exhibit an arbitrary form of stochastic dependence. All the results pr……続きを見る
