Here, William Uttal offers a critical review of cognitive neuroscience, examining both its history and modern developments in the field. He pays particular attention to the role of brain imaging in studying the mind-brain relationship.OCLC-licensed vendor bibliographic record.
"A Bradford book."The authors of Complex Worlds from Simpler Nervous Systems explain how animals with small, often minuscule, nervous systems--jumping spiders, bees, praying mantids, toads, and others--are not the simple "reflex machines" they were once thought to be. Because these animals live in the same world as do much larger species, they must meet the same environmental challenges. They d…
This is the fourth and final volume of papers from a series of workshops called "Computational Learning Theory and `Natural' Learning Systems." The purpose of the workshops was to explore the emerging intersection of theoretical learning research and natural learning systems. The workshops drew researchers from three historically distinct styles of learning research: computational learning theo…
"How NASA developed innovative strategies for managing knowledge and learning, and how other organizations can learn from NASA's success"--OCLC-licensed vendor bibliographic record.
Includes appendix 12A: a walking tour of the computational ideas underlying classifier systems.Two psychologists, a computer scientist, and a philosopher have collaborated to present a framework for understanding processes of inductive reasoning and learning in organisms and machines. Theirs is the first major effort to bring the ideas of several disciplines to bear on a subject that has been a…
A Bradford book."OCLC-licensed vendor bibliographic record.
In Concepts, Kinds, and Cognitive Development, Frank C. Keil provides a coherent account of how concepts and word meanings develop in children, adding to our understanding of the representational nature of concepts and word meanings at all ages. "A Bradford book."Includes indexes.OCLC-licensed vendor bibliographic record.
"Index" : an online index is available on the book webpage at http://www.cs.umd.edu/srl-book/index.htm.Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications.OCLC-licensed vendor bibliographic record.
"An updated introduction for generalists to this powerful technology, its applications and possible future directions"--OCLC-licensed vendor bibliographic record.
The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confidence level, of a classification--that is, a scale parameter--rather than a raw training error that matters has become a …