Search results for ""author jean walrand""

This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, classification, and estimation. He then explains how these applications work and, along the way, provides the readers with the understanding of the key concepts and methods of applied probability. Python labs enable the readers to experiment and consolidate their understanding. The book includes homework, solutions, and Jupyter notebooks. This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at mary.james@springer.com. This is an open access book.

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Focuses on the argument that performance modelling and simulation has become a central issue in computer science and engineering, in part due to its applications to the structures comprising the internet. Dealing primarily with theory, tools, and techniques related to communications systems, it provides tutorials and surveys and relates new important research results. Each chapter provides background information, describes and analyses important work done in the field, and provides important direction to the reader on future work and further readings. The topics covered include traffic models for ATM networks, simulation environments, analytical methods, interprocessor communications and an evaluation of process architectures.

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