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These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.
Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis.... Læs mere
Bioinformatics is constantly evolving, but a core body of algorithmic ideas for a problem-solving approach in the field has emerged. This handbook stresses that approach as it covers all relevant areas of computational biology and bioinformatics.
Presents information on the use of several algebraic techniques in analyzing the AES. This book is useful for academic and industry researchers in cryptology as well as for advanced-level students.
This book presents a comprehensive overview of how Artificial Intelligence is revolutionizing the fields of biochemistry, biomedical... Læs mere
This book studies different classification, detection and decision fusion algorithms, and helps practitioners deal with uncertainty in their data sets.
Using everyday computational power to tackle complex and seemingly unsolvable math problems
This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field.
This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences.
Blockchain and other trustless systems have gone from being relatively obscure technologies, which were only known to a small community of computer scientists and cryptologists, to mainstream phenomena that are now considered powerful game changers for many industries.