A body of results of new mathematical learning and processing in neural networks. The book also fills in background in such areas as computability theory, theory of analogue computation, time-series analysis, Bayesian analysis, computational learning theory and mathematical statistics.
A body of results of new mathematical learning and processing in neural networks. The book also fills in background in such areas as computability the...
This book is the final version of the widely-circulated 1993 Technical Report that introduces a conception of grammar in which well-formedness is defined as optimality with respect to a ranked set of universal constraints.
Final version of the widely circulated 1993 Technical Report that was the seminal work in Optimality Theory, never before available in book format.
Serves as an excellent introduction to the principles and practice of Optimality Theory.
Offers proposals and analytic commentary that suggest many directions for...
This book is the final version of the widely-circulated 1993 Technical Report that introduces a conception of grammar in which well-formedness is defi...
This book is the final version of the widely-circulated 1993 Technical Report that introduces a conception of grammar in which well-formedness is defined as optimality with respect to a ranked set of universal constraints.
Final version of the widely circulated 1993 Technical Report that was the seminal work in Optimality Theory, never before available in book format.
Serves as an excellent introduction to the principles and practice of Optimality Theory.
Offers proposals and analytic commentary that suggest many directions for...
This book is the final version of the widely-circulated 1993 Technical Report that introduces a conception of grammar in which well-formedness is defi...
Despite their apparently divergent accounts of higher cognition, cognitive theories based on neural computation & those employing symbolic computation can strengthen one another. This work set develops a cognitive architecture based in neural computation, but supports formally explicit higher-level symbolic descriptions.
Despite their apparently divergent accounts of higher cognition, cognitive theories based on neural computation & those employing symbolic computation...
Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these results, and to fill in the necessary background, in such areas as computability theory, computational complexity theory, the theory of analog computation, stochastic processes, dynamical systems, control theory, time-series analysis, Bayesian...
Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth...
