LEADER 04875nam 22007575 450 001 996466108403316 005 20200701123537.0 010 $a3-540-69752-7 024 7 $a10.1007/BFb0053992 035 $a(CKB)1000000000210913 035 $a(SSID)ssj0000320811 035 $a(PQKBManifestationID)11264088 035 $a(PQKBTitleCode)TC0000320811 035 $a(PQKBWorkID)10249661 035 $a(PQKB)11377011 035 $a(DE-He213)978-3-540-69752-7 035 $a(PPN)155197428 035 $a(EXLCZ)991000000000210913 100 $a20121227d1998 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdaptive Processing of Sequences and Data Structures$b[electronic resource] $eInternational Summer School on Neural Networks, "E.R. Caianiello", Vietri sul Mare, Salerno, Italy, September 6-13, 1997, Tutorial Lectures /$fedited by C.Lee Giles, Marco Gori 205 $a1st ed. 1998. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1998. 215 $a1 online resource (XIV, 438 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v1387 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-64341-9 327 $aRecurrent 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. 330 $aThis book is devoted to adaptive processing of structured information similar to flexible and intelligent information processing by humans - in contrast to merely sequential processing of predominantly symbolic information within a deterministic framework. Adaptive information processing allows for a mixture of sequential and parallel processing of symbolic as well as subsymbolic information within deterministic and probabilistic frameworks. The book originates from a summer school held in September 1997 and thus is ideally suited for advanced courses on adaptive information processing and advanced learning techniques or for self-instruction. Research and design professionals active in the area of neural information processing will find it a valuable state-of-the-art survey. 410 0$aLecture Notes in Artificial Intelligence ;$v1387 606 $aArchitecture, Computer 606 $aComputer programming 606 $aArtificial intelligence 606 $aComputers 606 $aMicroprocessors 606 $aData structures (Computer science) 606 $aComputer System Implementation$3https://scigraph.springernature.com/ontologies/product-market-codes/I13057 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aProcessor Architectures$3https://scigraph.springernature.com/ontologies/product-market-codes/I13014 606 $aData Structures$3https://scigraph.springernature.com/ontologies/product-market-codes/I15017 615 0$aArchitecture, Computer. 615 0$aComputer programming. 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aMicroprocessors. 615 0$aData structures (Computer science). 615 14$aComputer System Implementation. 615 24$aProgramming Techniques. 615 24$aArtificial Intelligence. 615 24$aComputation by Abstract Devices. 615 24$aProcessor Architectures. 615 24$aData Structures. 676 $a006.3/2 702 $aGiles$b C.Lee$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGori$b Marco$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Summer School on Neural Networks$f(1997 :$eSalerno, Italy) 906 $aBOOK 912 $a996466108403316 996 $aAdaptive processing of sequences and data structures$9877663 997 $aUNISA