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This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Ghent, Belgium, in September 2020. The 15 full papers presented in this book were carefully reviewed and selected from 29 submissions. The selected papers are devoted to topics such as Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Early Classification of Temporal Data; Deep Learning and Learning Representations for Temporal Data; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Space-Temporal Statistical Analysis; Functional Data Analysis Methods; Temporal Data Streams; Interpretable Time-Series Analysis Methods; Dimensionality Reduction, Sparsity, Algorithmic Complexity and Big Data Challenge; and Bio-Informatics, Medical, Energy Consumption, Temporal Data.
Artificial intelligence. --- Data mining. --- Application software. --- Machine learning. --- Education—Data processing. --- Computer communication systems. --- Artificial Intelligence. --- Data Mining and Knowledge Discovery. --- Computer Applications. --- Machine Learning. --- Computers and Education. --- Computer Communication Networks. --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Learning, Machine --- Artificial intelligence --- Machine theory --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Distributed processing --- Nurse practitioners. --- Clinical nurse specialists --- Nurse clinicians --- Nurses --- Nursing --- Physicians' assistants --- Practice
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L'espace est au coeur du récit. Son invention s'y trouve liée de manière fondamentale à l'évolution du temps, des personnages, de leurs corps, des idées, des savoirs. C'est ainsi qu'il se révèle, au fil du texte, sous une variété d'aspects dont chacun offre ses stratégies et ses possibilités propres. Cette nouvelle approche de la poétique de l'espace cherche, par la mobilisation d'une pluralité de champs d'étude et au contact d'un corpus ouvert, à offrir de précieux nouveaux outils à l'analyse des textes narratifs. Cet ouvrage invite à considérer l'édification des mondes littéraires comme une discipline architecturale à part entière.
Thematology --- Literary semiotics --- French literature --- Space in literature
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This book illustrates the thrust of the scientific community to use machine learning concepts for tackling a complex problem: given time series of neuronal spontaneous activity, which is the underlying connectivity between the neurons in the network? The contributing authors also develop tools for the advancement of neuroscience through machine learning techniques, with a focus on the major open problems in neuroscience. While the techniques have been developed for a specific application, they address the more general problem of network reconstruction from observational time series, a problem of interest in a wide variety of domains, including econometrics, epidemiology, and climatology, to cite only a few. < The book is designed for the mathematics, physics and computer science communities that carry out research in neuroscience problems. The content is also suitable for the machine learning community because it exemplifies how to approach the same problem from different perspectives.
Computer science. --- Artificial intelligence. --- Image processing. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Image Processing and Computer Vision. --- Computational neuroscience. --- Neural networks (Neurobiology) --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Computational neurosciences --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Cognitive neuroscience --- Neurobiology --- Neural circuitry --- Computational biology --- Neurosciences --- Computer vision. --- Artificial Intelligence. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment
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This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Würzburg, Germany, in September 2019. The 7 full papers presented together with 9 poster papers were carefully reviewed and selected from 31 submissions. The papers cover topics such as temporal data clustering; classification of univariate and multivariate time series; early classification of temporal data; deep learning and learning representations for temporal data; modeling temporal dependencies; advanced forecasting and prediction models; space-temporal statistical analysis; functional data analysis methods; temporal data streams; interpretable time-series analysis methods; dimensionality reduction, sparsity, algorithmic complexity and big data challenge; and bio-informatics, medical, energy consumption, on temporal data. .
Artificial intelligence. --- Computers. --- Computer organization. --- Application software. --- Optical data processing. --- Artificial Intelligence. --- Information Systems and Communication Service. --- Computer Systems Organization and Communication Networks. --- Computer Applications. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Organization, Computer --- Electronic digital computers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Optical equipment --- Time-series analysis --- Machine learning --- Temporal databases --- Data processing --- Temporal data bases --- Databases --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities
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Electronics --- Telecommunication technology --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- optische communicatie --- optische elektronica --- applicatiebeheer --- apps --- computers --- datacommunicatie --- KI (kunstmatige intelligentie) --- architectuur (informatica)
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Teaching --- Programming --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- applicatiebeheer --- apps --- onderwijs --- opvoeding --- programmeren (informatica) --- KI (kunstmatige intelligentie) --- computernetwerken --- architectuur (informatica) --- data acquisition
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Social sciences (general) --- Computer assisted instruction --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- datamining --- informatica --- sociale wetenschappen --- computerondersteund onderwijs --- KI (kunstmatige intelligentie) --- computernetwerken --- data acquisition
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