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This update of the 1981 classic on neural networks includes new commentaries by the authors that sho;...
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parallel computation model. It offers a complete paradigm for general-purpose parallel computation. This book focuses on evaluating the power;
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This book focuses on associative memory cells and their working principles, which can be applied to associative memories and memory;
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Integrating associative processing concepts with massively parallel SIMD technology, this volume explores a model for accessing data by;
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core concepts in parallel computing. SIMD, shared memory, and distributed memory machine models are covered, along with a brief discussion;
Vergelijkbare producten zoals Elements of Parallel Computing
five chapters present core concepts in parallel computing. SIMD, shared memory, and distributed memory machine models are covered, along with a;
Vergelijkbare producten zoals Elements of Parallel Computing
' present core concepts in parallel computing. SIMD, shared memory, and distributed memory machine models are covered, along with a brief discussion;
Vergelijkbare producten zoals Recent Progress in Computational Sciences and Engineering (2 vols)
Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment;
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Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment;
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demonstrates how very simple models may stimulate associative memory. The third part of the book discusses models of learning, including detailed;
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First published in 1973. Routledge is an imprint of Taylor & Francis, an informa company.;...
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demonstrates how very simple models may stimulate associative memory. The third part of the book discusses models of learning, including detailed;
Vergelijkbare producten zoals An Introduction to the Modeling of Neural Networks
This is an all-inclusive survey of the fundamentals of parallel and distributed computing. The use of parallel and distributed computing;
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The author, integrates cognitive and behavioural appraoches to learning and memory to show how these two approaches are complementary with;
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inference from the data even as its memory of that data degrades. The resultant net shows striking biological parallels. When these principles are;
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An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on;
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, parallel branch-and-bound search under limited-memory constraints, parallelization of greedy randomized adaptive search procedures, parallel;
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The foundations of parallel computation, especially the efficiency of computation, are the concern of this book. Distinguished;
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of behavior as parallel approaches to understanding how the brain learns that both challenge and inform each other. * Covers a broad range of topics;
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It is hard to think of any significant aspect of our lives that is not influenced by what we have le;...
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Nishimori condition, variational methods, the dynamical mean-field theory, unsupervised learning, associative memory models, perceptron models, the;
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An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the;
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Priming: Perspectives from Memory and Word Recognition examines empirical and theoretical advancements in the understanding of semantic priming;
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Priming: Perspectives from Memory and Word Recognition examines empirical and theoretical advancements in the understanding of semantic priming;
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This book constitutes the proceedings of the 13th IFIP WG 10.3International Conference on Network and Parallel Computing, NPC 2016,held;
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is the first of its kind to introduce human memory and basic cognition in terms of physical circuits, beginning with the possibilities;
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research shows that these memory illusions are fundamentally related to more complex memory distortions. As a result, this rapidly expanding;
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