A mathematical framework that describes learning of invariant representations in the ventral stream, offering both theoretical development and applications.The ventral visual stream is believed to underlie object recognition in primates. Over the past fifty years, researchers have developed a series of quantitative models that are increasingly faithful to the biological architecture. Recently, …
Schools do not define education, and they are not the only institutions in which learning takes place. After-school programs, music lessons, Scouts, summer camps, on-the-job training, and home activities all offer out-of-school educational experiences. In "Learning at Not-School," Julian Sefton-Green explores studies and scholarly research on out-of-school learning, investigating just what it i…
"A Bradford book."Pollock describes an exciting theory of rationality and its partial implementation in OSCAR, a computer system whose descendants will literally be persons.Building a person has been an elusive goal in artificial intelligence. This failure, John Pollock argues, is because the problems involved are essentially philosophical; what is needed for the construction of a person is a p…
"A Bradford book."Papers presented at a meeting held in Edinburgh, Scotland, Apr. 7-9, 1999.The effort to explain the imitative abilities of humans and other animals draws on fields as diverse as animal behavior, artificial intelligence, computer science, comparative psychology, neuroscience, primatology, and linguistics. This volume represents a first step toward integrating research from thos…
"This book offers a description of bioinformatics techniques as they are applied to immunology, including a succinct account of the main biological concepts for students and researchers with backgrounds in mathematics, statistics, and computer science as well as explanations of the new data-driven algorithms in the context of biological data that will be useful of immunologists, biologists, and…
As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice. Machine learning methods are usually based on the assumption that the data generation mechanism does not change over time. Yet real-world applications of machine learning, including image recognition, natural language processing, speech recognition, robo…
An account of the neurobiology of motor recovery in the arm and hand after stroke by two experts in the field.OCLC-licensed vendor bibliographic record.
" ... held in Whistler, British Columbia ... annual conference on Neural Information Processing Systems (NIPS) in December 2003"--Preface.Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, ma…
Selection of writings, mostly from the author's SPARC open access newsletter.Peter Suber has been a leading advocate for open access since 2001 and has worked full time on issues of open access since 2003. As a professor of philosophy during the early days of the internet, he realized its power and potential as a medium for scholarship. As he writes now, "it was like an asteroid crash, fundamen…
"An edited collection of prominent scholars in the field of language acquisition and development, focusing primarily on syntax and morphosyntax from formalist generative perspective"--OCLC-licensed vendor bibliographic record.