00774nam a2200217-i 450099100425173280753620220922114319.0021001s1940---- e u b ita Bibl. Interfacoltà T. Pellegrinoita370Necker de Saussure, Albertine482284Educazione progressiva /A. Necker de Saussure;traduzione di F. Damonte;introduzione e note di M. La TorracaVerona :La Scaligera,stampa 1940119 [i.e. 319] p. ;20 cmClassici di filosofia e pedagogia ;4Annotazioni, segnature a margineDamonte, FiorentinaLa Torraca, Maria991004251732807536Educazione progressiva277057UNISALENTO04047nam 22006495 450 991029987920332120251116191501.03-319-66790-410.1007/978-3-319-66790-4(CKB)4100000000881516(DE-He213)978-3-319-66790-4(MiAaPQ)EBC5106913(PPN)220123128(EXLCZ)99410000000088151620171015d2018 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierAdvances in Hybridization of Intelligent Methods Models, Systems and Applications /edited by Ioannis Hatzilygeroudis, Vasile Palade1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (IX, 147 p. 44 illus., 23 illus. in color.)Smart Innovation, Systems and Technologies,2190-3018 ;853-319-66789-0 Includes bibliographical references.Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013 -- Analysis of Biologically Inspired Swarm Communication Models -- Target-Dependent Sentiment Analysis of Tweets using Bi-directional Gated Recurrent Neural Networks -- Traffic Modelling, Visualisation and Prediction for Urban Mobility Management -- Assurance in Reinforcement Learning Using Quantitative Verification -- Distillation of Deep Learning Ensembles as a Regularisation method -- Heuristic Constraint Answer Set Programming for Manufacturing Problems.This book presents recent research on the hybridization of intelligent methods, which refers to combining methods to solve complex problems. It discusses hybrid approaches covering different areas of intelligent methods and technologies, such as neural networks, swarm intelligence, machine learning, reinforcement learning, deep learning, agent-based approaches, knowledge-based system and image processing. The book includes extended and revised versions of invited papers presented at the 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016), held in The Hague, Holland, in August 2016.  The book is intended for researchers and practitioners from academia and industry interested in using hybrid methods for solving complex problems.Smart Innovation, Systems and Technologies,2190-3018 ;85Computational intelligenceArtificial intelligenceNeural networks (Computer science)Signal processingImage processingSpeech processing systemsComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Mathematical Models of Cognitive Processes and Neural Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/M13100Signal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Computational intelligence.Artificial intelligence.Neural networks (Computer science)Signal processing.Image processing.Speech processing systems.Computational Intelligence.Artificial Intelligence.Mathematical Models of Cognitive Processes and Neural Networks.Signal, Image and Speech Processing.006.3Hatzilygeroudis Ioannisedthttp://id.loc.gov/vocabulary/relators/edtPalade Vasileedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910299879203321Advances in Hybridization of Intelligent Methods2544410UNINA