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This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization, tree-based methods including... Læs mere
Algebraic Structures in Natural Language by bringing together leading researchers from computational and mathematical linguistics, psychology and behavioural... Læs mere
AI for Diversity questions how AI technology can lead to inclusion or exclusion for diverse groups of society. It enables the reader to step back and see how AI is impacting diversity in humans impacted by AI and how diversity-awareness strategies can impact AI.
The text presents mathematical modeling techniques such as wavelet transform, differential calculus, and... Læs mere
This book takes an interdisciplinary approach to contribute to the ongoing development of human–AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society.
The text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart... Læs mere
This contributed volume offers practical solutions and design-, modeling-, and implementation-related insights that address current research problems in memristors, memristive devices, and memristor computing.
This volume gives an up-to-date review of the subject Integration in Finite Terms.
This book gathers outstanding research papers presented at the 5th International Joint Conference on Advances in Computational Intelligence (IJCACI 2021), held online during October 23–24, 2021.
The theory is unique in that it is a framework for quantifying imprecise and vague design information available... Læs mere
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.