367 hasil untuk machine learning
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Machine Learning: de la théorie à la pratique
…élèves ingénieurs. La première édition, connue sous le nom Apprentissage machine, fut traduite en chinois par les éditions iTuring. Dans cette deuxième édi-tion, un nouveau chapitre est dédié au Deep Learning, sur les réseaux de neurones artificiels, et nous avons réorganisé les autres chapitres…
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Big Data and Machine Learning in Quantitative Investment
Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment. Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and…
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Découverte du Machine Learning - Les outils de l'apprentissage automatique
International audience
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Data Mining and Machine Learning in Building Energy Analysis
…single and multiple buildings. Based on these datasets, Support Vector Machine (SVM) models are trained and tested to do the prediction. Suitable for novice, intermediate, and advanced readers, this is a vital resource for building designers, engineers, and students.
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Reproducing kernel methods for machine learning, PDEs, and statistics
…analogues of differential operators and variational tools that connect learning with PDE-style modeling. Part II turns to practice across four domains. In machine learning, we treat supervised and unsupervised tasks, then develop RKHS-based generative modeling, contrasting density and projection…
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Control Charts and Machine Learning for Anomaly Detection in Manufacturing
International audience
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Explainable and interpretable models in computer vision and machine learning
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like…
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Design sous artifice : la création au risque du machine learning
…ont tendance à se polariser sur le remplacement des humains par la machine. Ce faisant, ils font écran à la question essentielle : quel est le spectre des implications actuelles et potentielles du machine learning pour les pratiques de design ?
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Machine Learning Support for Fault Diagnosis of System-on-Chip
…diagnosis. However, with the fast development and vast application of machine learning (ML) in recent years, ML-based techniques have been shown to be highly valuable for diagnosis. They can be used for volume diagnosis after manufacturing to improve production yield or for diagnosis of customer…
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Machine Learning for HRI: Bridging the Gap between Action and Perception
International audience
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Models of Modals: From Pragmatics and Corpus Linguistics to Machine Learning
Modal verbs in English communicate delicate shades of meaning, there being a large range of verbs both on the necessity side (must, have to, should, ought to, need, need to) and the possibility side (can, may, could, might, be able to). They therefore constitute excellent test ground to apply and…
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Proceedings of The 4th Workshop on Machine Learning for Interactive Systems (MLIS2015)
…and potentially develop new interdisciplinary collaborations driven by machine learning. A multidisciplinary viewpoint is important to develop agents with a holistic perspective of the world. This is also vital for the design of agents that solve large-scale and complex real-world problems in a…
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Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning
This book presents the modern technological advancements and revolutions in the biomedical sector. Progress in the contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in the mobile healthcare. A continuous observation of…
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Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning
This book presents the modern technological advancements and revolutions in the biomedical sector. Progress in the contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in the mobile healthcare. A continuous observation of…
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Image Quality Assessment of Computer-generated Images, Based on Machine Learning and Soft Computing
…as full-reference and reduced-reference metrics. Thus, by creating Learning Machines, such as SVMs and RVMs, we can assess the perceptual quality of a computer-generated image. We also investigate the use of interval-valued fuzzy sets as a no-reference metric.These approaches are treated both…
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BMC proceedings 2008, 2 (Suppl 4):S1Selected Proceedings of Machine Learning in Systems Biology (MLSB 2007)
This supplement contains extended versions of a selected subset of papers presented at the workshop MLSB 2007, Machine Learning in Systems Biology, Evry, France, from September 24 to 25, 2007
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Proceedings of the International Conference on Internet of Things and Machine Learning (IML 2017), Liverpool, United Kingdom
International audience
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Machine Learning in Geomechanics 2: Data-Driven Modeling, Bayesian Inference, Physics- and Thermodynamics based Artificial Neural Networks and Reinforcement Learning
Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics.The two volumes of Machine Learning in Geomechanics aim to…