Anna Dawid, Miriam Büttner, Julian Arnold, Borja Requena, Alexander Gresch, Marcin Podzie, Kaelan Donatella, Kim A. Nicoli, Paolo Stornati, Rouven Koch...
Enhance your data science skills with this updated edition featuring new chapters on LLMs, temporal graphs, and updated examples with modern frameworks, including PyTorch Geometric, and DGL Key Features Master new graph ML tech...Loe edasi...
This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling pro...Loe edasi...
Anna Dawid, Miriam Büttner, Julian Arnold, Borja Requena, Alexander Gresch, Marcin Podzie, Kaelan Donatella, Kim A. Nicoli, Paolo Stornati, Rouven Koch...
(Ilmumisaeg: 12-Jun-2025, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009504935)
This book provides an accessible introduction to machine learning and demonstrates its applications in the quantum sciences. Readers will be equipped with the necessary tools to engage with emerging literature on machine learning in science and will...Loe edasi...
(Ilmumisaeg: 27-May-2025, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262052900)
A comprehensive guide to the theory and design of hardware-implemented finite state machines, with design examples developed in both VHDL and SystemVerilog languages.Modern, complex digital systems invariably include hardware-implement...Loe edasi...
(Ilmumisaeg: 20-May-2025, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262553179)
A simple, enduring framework for understanding the complex world of AI and machine learning-- A simple, enduring framework for understanding the complex world of AI and machine learning—updated with a new preface.As the capab...Loe edasi...
This book presents several robust sliding mode protocols for achieving the formation and tracking of Quadcopter swarm for a given pattern. In entire book, the concept of leader-follower formation control of a multi-agent system is exploited for de...Loe edasi...
New York Times Book Review Literary Theory for RobotsIntelligence expressed through technology should not be mistaken for a magical genie, capable of self-directed thought or action. Rather, in highly original and effervescent prose with a ge...Loe edasi...
The book comprises original articles on topical issues in risk theory, rational decision making, statistical decisions, and control of stochastic systems. The book comprises original articles on topical issues of risk theory, ratio...Loe edasi...
The book focuses on graph neural network methods and applications for scene understanding. Graph Neural Network is an important method for graph-structured data processing, which has strong capability of graph data learning and structural feature...Loe edasi...
This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes clear through the density matrix operator which...Loe edasi...
This book presents the research into and application of machine learning in quantum computation, known as quantum machine learning (QML). It presents a comparison of quantum machine learning, classical machine learning, and traditional programming,...Loe edasi...
This book is based on the authors’ recent research results on formation control problems, including time-varying formation, communication delays, fault-tolerant formation for multiple UAV systems with highly nonlinear and coupled, parameter uncert...Loe edasi...
This book illustrates different techniques and structures that are used in knowledge representation and machine learning. The aim of this book is to draw the attention of graduates, researchers and practitioners working in field of information techno...Loe edasi...
This presents recent advancements in probabilistic geotechnical site characterization. It reviews probability theories and models for cross correlation and spatial correlation, and presents methods for Bayesian parameter estimation and prediction....Loe edasi...
Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization...Loe edasi...
This book introduces the concept of “bespoke learning”, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable. Here the output variable generally provide...Loe edasi...
Contains the proceedings of the LuCaNT (LMFDB, Computation, and Number Theory) conference held from July 10-14, 2023, at the Institute for Computational and Experimental Research in Mathematics (ICERM), Providence, Rhode Island and affiliated with B...Loe edasi...
Inspired by the community behaviors of animals and humans, cooperative control has been intensively studied by numerous researchers in recent years, which aims to build a network system collectively driven by a global objective...Loe edasi...
In the industrial age, automation came for the shoemaker and the seamstress. Today, it has come for the writer, physician, programmer, and attorney. Literary Theory for RobotsIntelligence expressed through technology should not be mistaken fo...Loe edasi...
