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Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on... Read More >>
and quantum Markov semigroups. This book will be of value to scholars and graduate students in the fields of operator... Read More >>
This revised book provides an accessible presentation of concepts from probability theory, statistical methods,... Read More >>
The book is the first systematic and comprehensive treatise of stochastic models and computational tools that have... Read More >>
This text provides an elementary introduction to the probabilistic models and statistical methods used by reliability... Read More >>
Brings together the key elements and applications in a unified presentation aimed at developing intuition; contains... Read More >>
This book introduces optimal control problems for large families of deterministic and stochastic systems with discrete... Read More >>
"Unleash Your Mental Arsenal: Conquering Life's Challenges with ""Critical Thinking, Logic and Problem Solving""Do... Read More >>
This is a thoroughly revised and expanded third edition of a successful university textbook that provides a broad... Read More >>
This book mainly focuses on the sampled-data control of logical networks. We believe that the methods (semi-tensor... Read More >>
This book provides a systematic presentation of the major results in the field of the theory of k-out-of-n systems... Read More >>
Questo testo nasce dall'esperienza più che ventennale di insegnamento in corsi su processi e calcolo stocastico... Read More >>
The Art of Randomness is a hands-on guide to mastering the many ways you can use randomized algorithms to solve... Read More >>
This edited volume comprises invited contributions from world-renowned researchers in the subject of stochastic... Read More >>
"This book is designed to be an introductory course to some basic chapters of Advanced Mathematics for Engineering... Read More >>
The author’s method is to represent the tau functions introduced by Hirota–Sato and developed by Segal–Wilson later... Read More >>
This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications... Read More >>
