367 hasil untuk machine learning
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Deep Convolutional Neural HyperSpaces and Deep Functional Analysis
This book proposes a transverse mathematical perspective of deep machine learning in artificial intelligence, and to do so, it develops a framework of generalized transformations, called multiserial and hyperserial decompositions, in order to unify standard and recent data representation spaces…
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Modeling reef health from upstream socio-ecological components using GIS and RS
International audience
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: in special issue of Scientometrics : An International Journal for all Quantitative Aspects of the Science of Science, Communication in Science and Science Policy
…Citance-based retrieval and summarization using Information Retrieval and Machine Learning (Karimi et al. 2018); Analysis of search stratagems for interactive information retrieval in bibliographic databases (Kacem and Mayr 2018).
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Sociologie du numérique
…Cette nouvelle édition fait le point sur les évolutions récentes (le Machine Learning, la blockchain, le RGPD) et sur les enjeux contemporains (appels à la régulation, rôle croissant de la Chine, inflation des fakes news). Elle dresse un panorama des dernières avancées dans les domaines de la…
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Evolutionary algorithms
…of genetic programming able to evolve computer programs in the context of machine learning
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What is the value added of 4 bands within the submetric remote sensing of tropical coastscape? QuickBird-2 vs WorldView-2
International audience
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Computational Stylistics in Poetry, Prose and Drama
…of methods and techniques ranging from motif analysis, network analysis, machine learning, and Natural Language Processing. The volume pays particular attention to annotation, one of the most basic practices in computational stylistics. This contribution to the growing, dynamic field of digital…
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Evolutionary Algorithms
…of genetic programming able to evolve computer programs in the context of machine learning.
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Artificial Intelligence and Beyond for Finance
We wrote this book to help financial experts and investors to understand the state of the art of artificial intelligence and machine learning in finance. But first, what is artificial intelligence? The foundations of artificial intelligence lie in the human desire to automate. Often this desire has…
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Pilotage automatique et IA
…valorisante, les étudiants acquièrent des compétences pointues en machine learning, cybersécurité, vision par ordinateur et systèmes embarqués.Chaque module est conçu pour répondre à des cas d’usage réels dans l’aéronautique, les drones et les nouvelles mobilités. Ce parcours unique, ancré dans les…
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Genomic prediction of complex traits : methods and protocols
…reliability. Part Three describes genomic prediction methods, including machine-learning approaches, accounting for different degree of biological complexity, and reviews the associated computer-packages. Part Four reports on emerging trends such as phenomic prediction and incorporation into…
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Gestes techniques, techniques du geste
…accepted in a community of experience, knowledge and excellence. The learning processes of a technical gesture, the gesture which produces and transforms, the precise and dextral one, the artificial one which competes with the machines, are presented. The contributions elaborate upon the…
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Random Forests with R
This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random…
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Cybersecurity in France
…new realm of behavioral and cognitive sciences, and their application to machine learning and cyber-defense.
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L'information à tout prix
…réponses à ces questions, en conjuguant les outils du big data, du machine learning et de l'économie. Il se fonde sur la construction et l'analyse d'une base de données unique : l'intégralité du contenu produit en ligne par les médias d'information en France sur une année (2013), qu'il s'agisse de…
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Local Pattern Detection: International Seminar Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers
…new ?eld knowledge discovery in databases (KDD) at the intersection of machine learning, statistics and database technology. Being interdisciplinary by nature, the ?eld o?ers the opportunity to combine the expertise of di?erent ?elds intoacommonobjective.Moreover,withineach?elddiversemethodshave…
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Effective Communication and Single-Molecule Research
…coding image processing algorithms to researching innovative drugs with machine learning, the author shares the actual process through which scientific discoveries are made in labs today.Building on an award-winning 2024 Science in Shorts mediation content, this book is an essential resource for…
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Multimedia Mining: A Highway to Intelligent Multimedia Documents
…data mining, visual computing, signal processing, multimedia data and machine learning. Multimedia Mining: A Highway to Intelligent Multimedia Documents will bring together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems…
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Cognitive Approach to Natural Language Processing
…Whenever Possible” Principle. 2. Can the Human Association Norm Evaluate Machine-Made Association Lists? 3. How a Word of a Text Selects the Related Words in a Human Association Network. 4. The Reverse Association Task. 5. Hidden Structure and Function in the Lexicon. 6. Transductive Learning Games…
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Legal Knowledge and Information Systems
…recent years have also seen an increasing interest in the application of machine learning methods to ease and empower the everyday activities of legal experts.This book presents the proceedings of the 33rd International Conference on Legal Knowledge and Information Systems (JURIX 2020), organised…