04875nam 22007575 450 99646610840331620200701123537.03-540-69752-710.1007/BFb0053992(CKB)1000000000210913(SSID)ssj0000320811(PQKBManifestationID)11264088(PQKBTitleCode)TC0000320811(PQKBWorkID)10249661(PQKB)11377011(DE-He213)978-3-540-69752-7(PPN)155197428(EXLCZ)99100000000021091320121227d1998 u| 0engurnn|008mamaatxtccrAdaptive Processing of Sequences and Data Structures[electronic resource] International Summer School on Neural Networks, "E.R. Caianiello", Vietri sul Mare, Salerno, Italy, September 6-13, 1997, Tutorial Lectures /edited by C.Lee Giles, Marco Gori1st ed. 1998.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,1998.1 online resource (XIV, 438 p.) Lecture Notes in Artificial Intelligence ;1387Bibliographic Level Mode of Issuance: Monograph3-540-64341-9 Recurrent neural network architectures: An overview -- Gradient based learning methods -- Diagrammatic methods for deriving and relating temporal neural network algorithms -- An introduction to learning structured information -- Neural networks for processing data structures -- The loading problem: Topics in complexity -- Learning dynamic Bayesian networks -- Probabilistic models of neuronal spike trains -- Temporal models in blind source separation -- Recursive neural networks and automata -- The neural network pushdown automaton: Architecture, dynamics and training -- Neural dynamics with stochasticity -- Parsing the stream of time: The value of event-based segmentation in a complex real-world control problem -- Hybrid HMM/ANN systems for speech recognition: Overview and new research directions -- Predictive models for sequence modelling, application to speech and character recognition.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.Lecture Notes in Artificial Intelligence ;1387Architecture, ComputerComputer programmingArtificial intelligenceComputersMicroprocessorsData structures (Computer science)Computer System Implementationhttps://scigraph.springernature.com/ontologies/product-market-codes/I13057Programming Techniqueshttps://scigraph.springernature.com/ontologies/product-market-codes/I14010Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computation by Abstract Deviceshttps://scigraph.springernature.com/ontologies/product-market-codes/I16013Processor Architectureshttps://scigraph.springernature.com/ontologies/product-market-codes/I13014Data Structureshttps://scigraph.springernature.com/ontologies/product-market-codes/I15017Architecture, Computer.Computer programming.Artificial intelligence.Computers.Microprocessors.Data structures (Computer science).Computer System Implementation.Programming Techniques.Artificial Intelligence.Computation by Abstract Devices.Processor Architectures.Data Structures.006.3/2Giles C.Leeedthttp://id.loc.gov/vocabulary/relators/edtGori Marcoedthttp://id.loc.gov/vocabulary/relators/edtInternational Summer School on Neural Networks(1997 :Salerno, Italy)BOOK996466108403316Adaptive processing of sequences and data structures877663UNISA