"An explantion of a knowledge-based system for creating computational agents with human-like language ability"--OCLC-licensed vendor bibliographic record.
A guide to computational thinking education, with a focus on artificial intelligence literacy and the integration of computing and physical objects. Computing has become an essential part of today's primary and secondary school curricula. In recent years, K-12 computer education has shifted from computer science itself to the broader perspective of computational thinking (CT), which is less abo…
"This book sets the agenda for how we think about human activity that arises from embedding manipulated information in our action and embodied cognition"--OCLC-licensed vendor bibliographic record.
"With contributions from both original visionaries and emergent scholars, this volume extends the educational theory of constructionism, including recent movements in coding and making"--OCLC-licensed vendor bibliographic record.
"This book provides a model for teaching computational thinking to middle and high school students across a broad range of school subjects"--OCLC-licensed vendor bibliographic record.
In this book, the author argues that in embarking on an unprecedented effort to build surveillance capabilities deeply into communications infrastructure, the U.S. government is opting for short-term security and creating dangerous long-term risks. Landau describes what makes communications security hard, warrantless wiretapping and the role of electronic surveillance in the war on terror, the …
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…
Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to outperform algorithms that simply process a random subset o…
The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.OCLC-licensed vendor bibliographic record.
Productively combines elements of programming languages, environments, logic, and inductive inference to produce effective debugging aids. Its use of the PROLOG language provides an efficient implementation of the debugging algorithms.OCLC-licensed vendor bibliographic record.