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The acquisition of syntactic knowledge
"This landmark work in computational linguistics is of great importance both theoretically and practically because it shows that much of English grammar can be learned by a simple program. The Acquisition of Syntactic Knowledge investigates the central questions of human and machine cognition: How do people learn language? How can we get a machine to learn language? It first presents an explici…
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- ISBN/ISSN
- 0585368910
- Collation
- 1 online resource (xii, 368 pages) :illustrations.
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Kernel methods in computational biology
"A Bradford book."Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems. One branch of machine learning, kernel methods, lends itself particularly well to the difficult aspects of biological data, which include high dimensionality (as in microarray measurements), representation as discrete and structured data (as in DN…
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- ISBN/ISSN
- 0262256924
- Collation
- 1 online resource (ix, 400 pages) :illustrations.
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The mind doesn't work that way :the scope and limits of computational psychol…
AnnotationOCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262272902
- Collation
- 1 online resource (126 pages).
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Mind and mechanism
"A Bradford book.""In Mind and Mechanism, Drew McDermott takes a computational approach to the mind-body problem (how it is that a purely physical entity, the brain, can have experiences). He begins by demonstrating the falseness of dualist approaches, which separate the physical and mental realms. He then surveys what has been accomplished in artificial intelligence, clearly differentiating wh…
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- ISBN/ISSN
- 9780262256650
- Collation
- 1 online resource (xvi, 262 pages) :illustrations.
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Explorations in parallel distributed processing :a handbook of models, progra…
"A Bradford book."OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262291279
- Collation
- 1 online resource (ix, 355 pages) :illustrations.
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Reliable reasoning :induction and statistical learning theory
"A Bradford book."The implications for philosophy and cognitive science of developments in statistical learning theory.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262274975
- Collation
- 1 online resource (x, 108 pages) :illustrations.
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Vortical Flows
This book is a comprehensive and intensive book for graduate students in fluid dynamics as well as scientists, engineers and applied mathematicians. Offering a systematic introduction to the physical theory of vortical flows at graduate level, it considers the theory of vortical flows as a branch of fluid dynamics focusing on shearing process in fluid motion, measured by vorticity. It studie…
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- ISBN/ISSN
- 978-3-662-47061-9
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Vortex Rings and Jets Recent Developments in Near-Field Dynamics
In this book, recent developments in our understanding of fundamental vortex ring and jet dynamics will be discussed, with a view to shed light upon their near-field behaviour which underpins much of their far-field characteristics. The chapters provide up-to-date research findings by their respective experts and seek to link near-field flow physics of vortex ring and jet flows with end-applica…
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- ISBN/ISSN
- 978-981-287-396-5
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Visualization and Processing of Higher Order Descriptors for Multi-Valued Data
Modern imaging techniques and computational simulations yield complex multi-valued data that require higher-order mathematical descriptors. This book addresses topics of importance when dealing with such data, including frameworks for image processing, visualization and statistical analysis of higher-order descriptors. It also provides examples of the successful use of higher-order descriptors …
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- ISBN/ISSN
- 978-3-319-15090-1
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Visual Quality Assessment by Machine Learning
The book encompasses the state-of-the-art visual quality assessment (VQA) and learning based visual quality assessment (LB-VQA) by providing a comprehensive overview of the existing relevant methods. It delivers the readers the basic knowledge, systematic overview and new development of VQA. It also encompasses the preliminary knowledge of Machine Learning (ML) to VQA tasks and newly developed …
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- ISBN/ISSN
- 978-981-287-468-9
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