Artificial Intelligence and Causal Inference_Momiao Xiong.pdf

Artificial Intelligence and Causal Inference Introduction to Machine Learning with Applications in Information Security Mark Stamp A First Course in Machine Learning Simon Rogers, Mark Girolami Statistical Reinforcement Learning: Modern Machine Learning Approaches Masashi Sugiyama Sparse Modeling: Theory, Algorithms, and Applications Irina Rish, Genady Grabarnik Computational Trust Models and Machine Learning Xin Liu, Anwitaman Datta, Ee-Peng Lim Regularization, Optimization, Kernels, and Support Vector Machines Johan A.K. Suykens, Marco Signoretto, Andreas Argyriou Machine Learning: An Algorithmic Perspective, Second Edition Stephen Marsland Bayesian Programming Pierre Bessiere, Emmanuel Mazer, Juan Manuel Ahuactzin, Kamel Mekhnacha Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos Data Science and Machine Learning: Mathematical and Statistical Methods Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman Deep Learning and Linguistic Representation Shalom Lappin Artificial Intelligence and Causal Inference Momiao Xiong For more information on this series please visit: https://www.routledge.com/Chapman–HallCRC- Machine-Learning–Pattern-Recognition/book-series/CRCMACLEAPAT Chapman & Hall/CRC Machine Learning & Pattern Recognition Artificial Intelligence and Causal Inference Momiao Xiong First edition published 2022 by CRC Press 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742 and by CRC Press 4 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN CRC Press is an imprint of Taylor & Francis Group, LLC © 2022 Taylor & Francis Group, LLC Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this