The gap between theoretical ideas and messy reality, as seen in Neal Stephenson, Adam Smith, and Star Trek.OCLC-licensed vendor bibliographic record.
"The book presents an introduction to, and an authoritative guide, for anyone interested in the problem of probabilistic inference in the presence of symmetries/structured models"--OCLC-licensed vendor bibliographic record.
This book covers the basic theory, practical details and advanced research of the implementation of evolutionary methods on physical substrates. Most of the examples are from electronic engineering applications, including transistor-level design and system-level implementation. The authors present an overview of the successes achieved, and the book will act as a point of reference for both acad…
The goal of structured prediction is to build machine learning models that predict relational information that itself has structure, such as being composed of multiple interrelated parts. These models, which reflect prior knowledge, task-specific relations, and constraints, are used in fields including computer vision, speech recognition, natural language processing, and computational biology. …
"How people in Costa Rica live with algorithms in their daily life"--OCLC-licensed vendor bibliographic record.
"Bonini and Trere explore how people all around the world use different tactics to interfere with the algorithms behind the platforms they use to work, entertain, and inform themselves"--OCLC-licensed vendor bibliographic record.
"Essays that look at the challenges and risks in designing algorithms and platforms for children, with an emphasis on innovative designs and solutions for algorithmic justice, learning, and equity"--OCLC-licensed vendor bibliographic record.
"Ethnographic study of the constitution of algorithms"--OCLC-licensed vendor bibliographic record.
An introduction to computational thinking that traces a genealogy beginning centuries before the digital computer. A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational …
Collected papers based on talks presented at two Neural Information Processing Systems workshops.State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must sati…