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Lifelong learning addresses situations in which a learner faces a series of different learning tasks providing the opportunity for synergy among them. Explanati

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp

presents a unified and in-depth development of neural network learning algorithms and neural network expert systems

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

This work explores probabilistic models of supervised learning problems and addresses the key statistical and computational questions. Chapters survey research