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Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track

autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent;

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track

autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent;

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Machine Learning and Knowledge Discovery in Databases

autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent;

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Machine Learning and Knowledge Discovery in Databases

autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent;

Vergelijkbare producten zoals Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases

autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent;

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Computational Intelligence in Pattern Recognition

neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining;

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Statistics and Data Science

, data visualization, bioinformatics, machine learning, neural networks, statistics, and probability.;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Artificial Intelligence for Humans, Volume 3

of real-world tasks such as image recognition and data science. We examine current neural network technologies, including ReLU activation;

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Deep Learning for Hydrometeorology and Environmental Science

on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to;

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Deep Learning for Hydrometeorology and Environmental Science

on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to;

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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box;

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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box;

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Deep Learning for Data Analytics

analyze large volumes of data for business, engineering, and biomedical applications. Deep learning architectures including deep neural networks;

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Proceedings of International Conference on Data Science and Applications

, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image;

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Innovations in Computer Science and Engineering

research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy;

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Advances in Data Science

geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological;

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Learning from Data

An interdisciplinary framework for learning methodologies-covering statistics, neural networks, and fuzzy logic, this book provides a;

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Advances in Neural Networks- ISNN 2013

The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN;

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Advances in Neural Networks- ISNN 2013

The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN;

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Methods for Neural Ensemble Recordings

In the last ten years neural ensemble recording grew into a well-respected and highly data-lucrative science. New experimental paradigms;

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Stevens' Handbook of Experimental Psychology

; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning;

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Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial

This book presents neural partial differentiation as an estimation algorithm for extracting aerodynamic derivatives from flight data. It;

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Intelligence Science and Big Data Engineering. Visual Data Engineering

including information theoretic and Bayesian approaches, probabilistic graphical models, big data analysis, neural networks and neuro-informatics;

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Neural Networks for Applied Sciences and Engineering

In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering;

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Cybernetics Cognition and Machine Learning Applications

of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and;

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