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Judul Advances in Artificial Intelligence : Models, Optimization, and Machine Learning / Edited : Florin Leon
Pengarang Leon, Florin
Penerbitan Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Deskripsi Fisik 364 p :ilus.
ISBN 9783036545165
Subjek ARTIFICIAL INTELLIGENCE
Catatan The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning” of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems. We hope that the scientific results presented in this book will serve as valuable sources of documentation and inspiration for anyone willing to pursue research in artificial intelligence, machine learning and their widespread applications.
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Lokasi Akses Online https://oer.unair.ac.id/files/original/2e8856e5145b29827851666106439b57.pdf

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
255425192 006.3 Adv Baca Online Perpustakaan Pusat - Online Resources
Ebook
Tersedia
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245 # # $a Advances in Artificial Intelligence : $b Models, Optimization, and Machine Learning /$c Edited : Florin Leon
260 # # $a Basel, :$b MDPI - Multidisciplinary Digital Publishing Institute,$c 2022
300 # # $a 364 p : $b ilus.
505 # # $a The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning” of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems. We hope that the scientific results presented in this book will serve as valuable sources of documentation and inspiration for anyone willing to pursue research in artificial intelligence, machine learning and their widespread applications.
650 # # $a ARTIFICIAL INTELLIGENCE
700 1 # $a Leon, Florin
856 # # $a https://oer.unair.ac.id/files/original/2e8856e5145b29827851666106439b57.pdf
990 # # $a 255425192
Content Unduh katalog