367 hasil untuk machine learning
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Introduction to Riemannian Geometry and Geometric Statistics: from basic theory to implementation with Geomstats
…of this implementation is to be able to perform statistics and machine learning on manifolds, with as few lines of codes as in the wide-spread machine learning tool scikit-learn. We exemplify this with an introduction to geometric statistics.
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Sustainable Manufacturing in Industry 4.0: Pathways and Practices
This book gives an overview of the latest technologies in the Industry 4.0, using smart and autonomous systems driven by data and machine learning, to develop a sustainable approach to manufacturing. It includes the implementation of smart technological approaches in different manufacturing…
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Mean field simulation for Monte Carlo integration
…physics, population biology, computer sciences, and statistical machine learning. Ideally suited to parallel and distributed computation, these advanced particle algorithms include nonlinear interacting jump diffusions; quantum, diffusion, and resampled Monte Carlo methods; Feynman-Kac particle…
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Breaking New Ground: Exploring the Cutting-Edge of Biomedical Engineering Research
Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized various industries, and their impact on biomedical imaging is profound. This article explores the intersection of AI, ML, and biomedical imaging, highlighting their applications, advantages, challenges, and future…
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Advanced Electrical Engineering and Quantum Technologies
…of GAA NSFETs, for instance, the NEGF framework coupled with deep-learning-accelerated tight-binding Hamiltonians has unveiled quantum geometrical bottlenecks-manifesting as mode-mismatched carrier injection at nanosheet constrictions-that degrade drive currents by up to 30% relative to…
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Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects
…evolutions in the past 25 years: firstly, the extraordinary success of machine learning, which is now, for better or for worse, overwhelmingly dominant in the field, and secondly, the multiplication of evaluation campaigns or shared tasks. Both involve manually annotated corpora, for the training…
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Représentations opérationnelles: L'opéra entre Berio et Turing
…possibilités de constitution progressive du sens par le dialogue homme-machine ? Un des éléments de réponse sera la nature de la relation homme-machine établie. L'informatique, au théâtre comme ailleurs, offre les deux visages fondateurs révélés par Turing, celui de la machine opérante, toujours…
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Handbook of Mixture Analysis
Mixture analysis is very active research topic in statistics and machine learning. It is a good timing for a Handbook to present a broad overview of the methods and applications, suitable for graduate students and young researchers new to the field. This Handbook is divided into two main parts; the…
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AI Technologies for Information Systems and Management Science : Proceedings of 6th International Conference on Information Systems and Management Science (ISMS) 2023 - Volume 1
This book explores the integration of artificial intelligence into various facets of information systems and management. It delves into machine learning, natural language processing, and computer vision applications, illustrating how these technologies revolutionize decision-making, optimization…
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Artificial Evolution: 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29–30, 2019, Revised Selected Papers
…constraint handling, parallel algorithms,, dynamic optimization, machine learning and hybridization with other soft computing techniques.
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Artificial Evolution, 13th International Conference, Evolution Artificielle, EA 2017, Paris, France, October 25-27, 2017,Revised Selected Papers
…constraint handling, parallel algorithms,, dynamic optimization, machine learning and hybridization with other soft computing techniques.
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Pioneering Advances in Biomedical Engineering: A Systematic book Review of Contemporary Innovations and Future Directions
Artificial Intelligence (AI) and Machine Learning (ML) have fundamentally transformed numerous industrial sectors, with a particularly significant impact on the field of biomedical imaging. This article examines the convergence of AI, ML, and biomedical imaging, emphasizing their diverse…
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Advances in Data Science. Symbolic, Complex and Network Data
Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data science. These data…
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Proceedings Of The 3rd Workshop On Domain-Specific Language Design And Implementation (DSLDI'15)
…in discovering how already known domains such as graph processing or machine learning can be best supported by DSLs, but also in exploring new domains that could be targeted by DSLs. More generally, we are interested in building a community that can drive forward the development of modern DSLs…
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A Guided Tour of Artificial Intelligence Research - Volume III: Interfaces and Applications of Artificial Intelligence
…of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen…
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A Guided Tour of Artificial Intelligence Research: Volume II: AI Algorithms
…of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning)- the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms)- the third volume, composed of sixteen…
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"Concepts and Tools for Knowledge Management (KM)" : Proceedings of ISKO-Maghreb'2012
La gouvernance de la connaissance paraît être la politique scientifique la plus apte à la création de la valeur au regard de l'Homme et de son évolution dans les cultures et civilisations. Le devoir de cette gouvernance est une prise en considération de la transmission des savoirs liée aux progrès…
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Du Big Data à l'IA - 60 ans d’expérience en traitement des données, des informations et des connaissances à Grenoble
Notre monde est devenu numérique, et les données, un point central à toute activité humaine et un bien de consommation avec une véritable valeur marchande. Essentielles pour entraîner les intelligences artificielles, elles fournissent désormais la matière première des algorithmes de demain.Depuis…
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Advances in Modeling and Simulation: Festschrift for Pierre L'Ecuyer
…low discrepancy sequences, simulation, rare events, graphics, finance, machine learning, stochastic processes, and tractability.
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Handbook of Blind Source Separation, Independent Component Analysis and Applications
…engineering and audio, acoustic and speech processing. Going beyond a machine learning perspective, the book reflects recent results in signal processing and numerical analysis, and includes topics such as optimization criteria, mathematical tools, the design of numerical algorithms, convolutive…