An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning Bayesian inference generative models and decision making under uncertainty. An advanced counterpart to Probabilistic Machine Learn... Lees meer.

A detailed and up-to-date introduction to machine learning presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning including deep learning through the unify... Lees meer.

High-dimensional probability offers insight into the behavior of random vectors random matrices random subspaces and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability analysis and geometry it lends itself to applications in... Lees meer.

An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics probabilis... Lees meer.

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for... Lees meer.

Praise for the Third Edition Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this book. - MAA Reviews Maintaining a standard of excellence that establishes The Probabilistic Method as the leading refere... Lees meer.

Probabilistic Deep Learning shows how probabilistic deep learning models gives readers the tools to identify and account for uncertainty and potential errors in their results. Starting by applying the underlying maximum likelihood principle of curve fitting to deep l... Lees meer.

In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead of focusing on particular application areas the authors adopt a general dynamical systems approach with a profusion of low-dimensiona... Lees meer.

Complications attributed to cardiovascular disease CVD are currently the main cause of death worldwide. It is known that the majority of adverse CVD-related events are due to coronary artery diseases. a condition in which fatty lesions called plaques are formed on th... Lees meer.

This is the first book that focuses on the intersection of graph searching games and probabilistic methods. The book explores various applications of these powerful mathematical tools to games and processes. It also provides results techniques and directions in graph... Lees meer.

There are several reasons why probabilistic machine learning represents the next-generation ML framework and technology for finance and investing. This generative ensemble learns continually from small and noisy financial datasets while seamlessly enabling probabilistic... Lees meer.

Improving lava flow hazard assessment is one of the most important and challenging fields of volcanology and has an immediate and practical impact on society. This books aims at presenting a methodology for the quantitative assessment of lava flow hazards based on a co... Lees meer.

Three centuries ago Montmort and De Moivre published two of the first books on probability theory then called the doctrine of chances emphasizing its most important application at that time games of chance. This volume on the probabilistic aspects of gambling is a... Lees meer.

With all the insights experienced in the COVID process one essential remains. The virus remains a constant companion . In contrast to regularly occurring infection processes a COVID infection takes a different course. This is characterized by a dynamic that deviates... Lees meer.

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for... Lees meer.