This collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students ...
Lee mas
This work, a tribute to renowned researcher Robert Paige, is a collection of revised papers published in his honor in the ...
Lee mas
Computer science will be radically transformed if ongoing efforts to build large-scale quantum computers eventually succeed ...
Lee mas
Computer science will be radically transformed if ongoing efforts to build large-scale quantum computers eventually succeed ...
Lee mas
This book brings together leading academic researchers and industrial practitioners to address the issues in this emerging ...
Lee masSearching in a large database of videos is one of the challenges faced by the user today as most of the results are inaccurate ...
Lee mas
This book constitutes the refereed proceedings of the Third International Conference on Autonomic and Trusted Computing, ...
Lee mas
MAS offiers powerful metaphors for information system conceptualization, a range of new techniques, and technologies specifically ...
Lee mas
MAS offiers powerful metaphors for information system conceptualization, a range of new techniques, and technologies specifically ...
Lee mas
This book deals with the theoretical and methodological aspects of incorporating intelligence in Autonomous Robots and Agents. ...
Lee mas
The International Workshop on "Autonomous Systems - Self-Organization, Management, and Control " is the eighth in a successful ...
Lee mas
The contents of this book builds further on the contents of the first volume in the Philips Research Book Series, Battery ...
Lee mas
R's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
Lee mas
Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. ...
Lee mas
Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. ...
Lee mas
Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The ...
Lee mas
Stats with an introduction to AI, where you’ll learn the history of neural networks and what sets deep learning apart from ...
Lee mas
Teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big ...
Lee mas
There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve ...
Lee mas
Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts ...
Lee mas