Machine Learning And Neural Networks – alle Bücher, Seite 4 online kaufen

Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent a…

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Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

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Maurizio Perticarini
Machine Learning and Mixed Reality for the Enhancement of Cultural Heritage

This book addresses the role of modern surveying and representation technologies in preserving and disseminating cultural heritage. A workflow is illustrated, describing the Former Monastery of Ss Severin…

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Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond

The book presents the peer-reviewed contributions of the 15th International Workshop on Self-Organizing Maps, Learning Vector Quantization and Beyond (WSOM$+$ 2024), held at the University of Applied Scie…

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Machine Learning, Image Processing, Network Security and Data Sciences

This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2023, held in Hamirpur, India, during Dec…

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Frank Emmert-Streib, Matthias Dehmer, Salissou Moutari
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of meth…

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Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science , Volume 4 of the Proceedings of the 2023 SEM Annual Conference & Exposition on Experimental an…

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Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held du…

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Patrick Krauss
Artificial Intelligence and Brain Research

How does artificial intelligence (AI) work and are there parallels to the human brain? What do natural and artificial intelligence have in common, and what are the differences? Is the brain nothing more t…

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Katherine Munro, Jeannette Gorzala, Gerald A. Hahn, Georg Langs
Handbuch Data Science und KI

Data Science, Big Data und künstliche Intelligenz gehören derzeit zu den Konzepten, über die in Industrie, Regierung und Gesellschaft am meisten diskutiert wird, die aber auch am meisten missverstanden we…

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Marc Scheufen, Armin Mertens
Datenbearbeitung und -visualisierung mit R

Ziel des Lehrbuchs ist das Einüben und Umsetzen wichtiger Kompetenzen beim Datenhandling. So bestehen die ersten Schritte einer jeden empirischen Studie darin, die Daten für die eigene Analyse vorzubereit…

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Computer-Aided and Machine Learning-Driven Drug Design

The computer-aided drug design research field comprises several different knowledge areas, and often, researchers are only familiar or experienced with a small fraction of them. Indeed, pharmaceutical ind…

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Roland Schwaiger, Joachim Steinwendner
Neuronale Netze programmieren mit Python

Neuronale Netze stehen im Mittelpunkt, wenn es um Künstliche Intelligenz und Machine Learning geht. Sie revolutionieren Bild- und Spracherkennung, Spiele-KIs und vieles mehr. Zum Glück lassen sich die gen…

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Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular dat…

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Eric W Bridgeford, Alexander R Loftus, Joshua T Vogelstein
Hands-On Network Machine Learning with Python

Bridging theory and practice in network data analysis, this guide offers an intuitive approach to understanding and analyzing complex networks. It covers foundational concepts, practical tools, and real-w…

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Neural-Symbolic Learning and Reasoning

This book constitutes the refereed proceedings of the 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, held in Barcelona, Spain during September 9-12th, 2024.The 30 full…

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Neural-Symbolic Learning and Reasoning

This book constitutes the refereed proceedings of the 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, held in Barcelona, Spain during September 9-12th, 2024.The 30 full…

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Vazgen Melikyan
Machine Learning-based Design and Optimization of High-Speed Circuits

This book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between e…

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Advanced Machine Learning for Cyber-Attack Detection in Iot Networks

Advanced Machine Learning for Cyber-Attack Detection in IoT Networks analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, along with their ap…

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George A. Anastassiou
Parametrized, Deformed and General Neural Networks

In this book, we introduce the parametrized, deformed and general activation function of neural networks. The parametrized activation function kills much less neurons than the original one. The asymmetry …

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