Inference and Learning From Data: Volume 3 - Learning

List of contents

Preface; Notation; 50. Least-squares problems; 51. Regularization; 52. Nearest-neighbor rule; 53. Self-organizing maps; 54. Decision trees; 55. Naive Bayes classifier; 56. Linear discriminant analysis; 57. Principal component analysis; 58. Dictionary learning; 59. Logistic regression; 60. Perceptron; 61. Support vector machines; 62. Bagging and boosting; 63. Kernel methods; 64. Generalization theory; 65. Feedforward neural networks; 66. Deep belief networks; 67. Convolutional networks; 68. Generative networks; 69. Recurrent networks; 70. Explainable learning; 71. Adversarial attacks; 72. Meta learning; Author index; Subject index.

About the author

Ali H. Sayed is Professor and Dean of Engineering at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He has also served as Distinguished Professor and Chairman of Electrical Engineering at the University of California, Los Angeles, USA, and as President of the IEEE Signal Processing Society. He is a member of the US National Academy of Engineering (NAE) and The World Academy of Sciences (TWAS), and a recipient of the 2022 IEEE Fourier Award and the 2020 IEEE Norbert Wiener Society Award. He is a Fellow of the IEEE.

Product details

• Authors: Ali H. Sayed, Ali H. (Ecole Polytechnique Federale De Lau Sayed, Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed, Sayed Ali H.
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 22.12.2022
• EAN: 9781009218283
• ISBN: 978-1-0-0921828-3
• No. of pages: 990
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Social sciences, law, business > Media, communication > Communication science; machine learning, COMPUTERS / Computer Science, TECHNOLOGY & ENGINEERING / Signals & Signal Processing, COMPUTERS / Information Theory, COMPUTERS / Optical Data Processing, pattern recognition, Signal Processing, Information theory, Communications engineering / telecommunications, COMPUTERS / Data Science / Machine Learning, Digital signal processing (DSP)