Ebook: Adaptive Processing of Sequences and Data Structures: International Summer School on Neural Networks “E.R. Caianiello” Vietri sul Mare, Salerno, Italy September 6–13, 1997 Tutorial Lectures
- Genre: Computers // Algorithms and Data Structures
- Tags: Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Processor Architectures, Data Structures, Discrete Mathematics in Computer Science
- Series: Lecture Notes in Computer Science 1387 : Lecture Notes in Artificial Intelligence
- Year: 1998
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- djvu
This book is devoted to adaptive processing of structured information similar to flexible and intelligent information processing by humans - in contrast to merely sequential processing of predominantly symbolic information within a deterministic framework. Adaptive information processing allows for a mixture of sequential and parallel processing of symbolic as well as subsymbolic information within deterministic and probabilistic frameworks.
The book originates from a summer school held in September 1997 and thus is ideally suited for advanced courses on adaptive information processing and advanced learning techniques or for self-instruction. Research and design professionals active in the area of neural information processing will find it a valuable state-of-the-art survey.
This book is devoted to adaptive processing of structured information similar to flexible and intelligent information processing by humans - in contrast to merely sequential processing of predominantly symbolic information within a deterministic framework. Adaptive information processing allows for a mixture of sequential and parallel processing of symbolic as well as subsymbolic information within deterministic and probabilistic frameworks. The book originates from a summer school held in September 1997 and thus is ideally suited for advanced courses on adaptive information processing and advanced learning techniques or for self-instruction. Research and design professionals active in the area of neural information processing will find it a valuable state-of-the-art survey.