Connectionist Approaches to Language Learning, David Touretzky

Автор: Pierce Benjamin A
Название: Genetics Essentials. Concepts and Connections. - 3th ed.
ISBN: 1464190755 ISBN-13(EAN): 9781464190759
Издательство: Springer
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Описание: Derived from Ben Pierce's popular and acclaimed Genetics: A Conceptual Approach, this streamlined text covers basic transmission, molecular, and population genetics.

Автор: Marco Catani and Michel Thiebaut de Schotten
Название: Atlas of Human Brain Connections
ISBN: 0198729375 ISBN-13(EAN): 9780198729372
Издательство: Oxford Academ
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Описание: One of the major challenges of modern neuroscience is to define the complex pattern of neural connections that underlie cognition and behaviour. This atlas capitalises on novel diffusion MRI tractography methods to provide a comprehensive overview of connections derived from virtual in vivo tractography dissections of the human brain.

Автор: David Touretzky
Название: Connectionist Approaches to Language Learning
ISBN: 0792392167 ISBN-13(EAN): 9780792392163
Издательство: Springer
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Цена: 121070.00 T
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Описание: arise automatically as a result of the recursive structure of the task and the continuous nature of the SRN's state space. Elman also introduces a new graphical technique for study- ing network behavior based on principal components analysis. He shows that sentences with multiple levels of embedding produce state space trajectories with an intriguing self- similar structure. The development and shape of a recurrent network's state space is the subject of Pollack's paper, the most provocative in this collection. Pollack looks more closely at a connectionist network as a continuous dynamical system. He describes a new type of machine learning phenomenon: induction by phase transition. He then shows that under certain conditions, the state space created by these machines can have a fractal or chaotic structure, with a potentially infinite number of states. This is graphically illustrated using a higher-order recurrent network trained to recognize various regular languages over binary strings. Finally, Pollack suggests that it might be possible to exploit the fractal dynamics of these systems to achieve a generative capacity beyond that of finite-state machines.

Автор: Stefan Wermter; Ellen Riloff; Gabriele Scheler
Название: Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing
ISBN: 3540609253 ISBN-13(EAN): 9783540609254
Издательство: Springer
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Описание: Based on conference proceedings, this book presents revised papers. Also included, and written with the novice reader in mind, is an introductory survey by the volume editors. The volume presents the state of the art in current approaches to NLP.

Автор: R.H. Phaf
Название: Learning in Natural and Connectionist Systems
ISBN: 9401043620 ISBN-13(EAN): 9789401043625
Издательство: Springer
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Автор: Noel Sharkey
Название: Connectionist Natural Language Processing
ISBN: 9401051607 ISBN-13(EAN): 9789401051606
Издательство: Springer
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Название: Connectionist Models of Memory and Language (PLE: Memory)
ISBN: 1138971537 ISBN-13(EAN): 9781138971530
Издательство: Taylor&Francis
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Цена: 30610.00 T
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Описание: Connectionist modelling and neural network applications had become a major sub-field of cognitive science by the mid-1990s. In this ground-breaking book, originally published in 1995, leading connectionists shed light on current approaches to memory and language modelling at the time.

Автор: R.H. Phaf
Название: Learning in Natural and Connectionist Systems
ISBN: 0792326857 ISBN-13(EAN): 9780792326854
Издательство: Springer
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Описание: Modern research in neural networks has led to artificial learning systems, while work in the psychology of human memory has revealed much about how natural systems really learn, including the role of unconscious, implicit, memory processes. This book, combining the approaches, contributes to their mutual benefit.

Автор: Robert M. French; Jacques P. Sougne
Название: Connectionist Models of Learning, Development and Evolution
ISBN: 1852333545 ISBN-13(EAN): 9781852333546
Издательство: Springer
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Цена: 102480.00 T
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Описание: Presents neural network modelling in the areas of evolution, learning, and development. This book, organized in six sections, covers the neural basis of cognition; development and category learning; implicit learning; social cognition; and, semantics. It also covers artificial intelligence, mathematics, psychology, neurobiology, and philosophy.

Автор: David Ackley
Название: A Connectionist Machine for Genetic Hillclimbing
ISBN: 1461291925 ISBN-13(EAN): 9781461291923
Издательство: Springer
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Цена: 111790.00 T
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Описание: In the "black box function optimization" problem, a search strategy is required to find an extremal point of a function without knowing the structure of the function or the range of possible function values.

Автор: Davelaar Eddy J
Название: Connectionist Models Of Neurocognition And Emergent Behavior: From Theory To Applications - Proceedings Of The 12Th Neural Computation And Psychology Workshop
ISBN: 9814340340 ISBN-13(EAN): 9789814340342
Издательство: World Scientific Publishing
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Описание: Collects together most of the papers presented at the Twelfth Neural Computation and Psychology Workshop (NCPW12) held in 2010 at Birkbeck College (England). This book covers a wide range of research topics in neural computation and psychology, including cognitive development, language processing, higher-level cognition, and more.

Название: Philosophy and Connectionist Theory
ISBN: 1138876089 ISBN-13(EAN): 9781138876088
Издательство: Taylor&Francis
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Описание: The philosophy of cognitive science has recently become one of the most exciting and fastest growing domains of philosophical inquiry and analysis. Until the early 1980s, nearly all of the models developed treated cognitive processes -- like problem solving, language comprehension, memory, and higher visual processing -- as rule-governed symbol manipulation. However, this situation has changed dramatically over the last half dozen years. In that period there has been an enormous shift of attention toward connectionist models of cognition that are inspired by the network-like architecture of the brain. Because of their unique architecture and style of processing, connectionist systems are generally regarded as radically different from the more traditional symbol manipulation models. This collection was designed to provide philosophers who have been working in the area of cognitive science with a forum for expressing their views on these recent developments. Because the symbol-manipulating paradigm has been so important to the work of contemporary philosophers, many have watched the emergence of connectionism with considerable interest. The contributors take very different stands toward connectionism, but all agree that the potential exists for a radical shift in the way many philosophers think of various aspects of cognition. Exploring this potential and other philosophical dimensions of connectionist research is the aim of this volume.