503 hasil untuk machine learning
Menampilkan 61–80 · 0,39 detik · RSS
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Buku Teks lengkap
A Gentle Introduction to Data, Learning, and Model Order Reduction
This open access book explores the latest advancements in simulation performance, driven by model order reduction, informed and augmented machine learning technologies and their combination into the so-called hybrid digital twins. It provides a comprehensive review of three key frameworks shaping…
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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
…reference resource for researchers and designers in the field of robot learning and multimodal perception, as well as for senior undergraduate and graduate university students.
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Innovative Learning Environments in STEM Higher Education
…opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories…
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Chapter Deep Learning Training and Benchmarks for Earth Observation Images: Data Sets, Features, and Procedures
Deep learning methods are often used for image classification or local object segmentation. The corresponding test and validation data sets are an integral part of the learning process and also of the algorithm performance evaluation. High and particularly very high-resolution Earth observation…
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Statistical Foundations of Actuarial Learning and its Applications
…such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data…
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Individual differences in early instructed language learning
Variability in predispositions for language learning has attracted scholarly curiosity for over 100 years. Despite major changes in theoretical explanations and foreign/second language teaching paradigms, some patterns of associations between predispositions and learning outcomes seem timelessly…
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Chapter Comparisons of Deep Learning Models for Dynamic Local Climate Zone Mapping
…world This book is intended for researchers and scientists interested in learning techniques in GeoAI, including the technologies for collecting, analyzing, managing, processing, and visualizing geospatial datasets. Chapters 3, 6, 7, 8, and 15 of this book are freely available as a downloadable…
Juga tersedia di: OAPEN
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Chapter GenRecipe for Generating Recipes from Videos through Deep Learning
This book details the process of building a Chinese-English machine translation system that automatically translates Chinese recipes into English through machine processing without human intervention ( TransRecipe ). This system is able to translate recipes into pictures and videos ( VisualRecipe )…
Juga tersedia di: OAPEN
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Automated Optical Inspection of Deformable Linear Objects in Wiring Harnesses Applying Deep Learning and Synthetic Data
…scene creation, and data processing. The approach leverages deep learning algorithms trained with synthetic data to detect wiring harness components, including both rigid and deformable linear objects. FastAOI is implemented and vali-dated in two AOI systems, one for image and one for point cloud…
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Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources
The manual construction of formal domain conceptualizations (ontologies) is labor-intensive. Ontology learning, by contrast, provides (semi-)automatic ontology generation from input data such as domain text. This thesis proposes a novel approach for learning labels of non-taxonomic ontology…
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Chapter 2 The LEXIS Platform for Distributed Workflow Execution and Data Management
Artificial Intelligence, Deep Learning, Machine Learning, Supercomputing
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Bab Buku Teks lengkap
Chapter 4 Data System and Data Management in a Federation of HPC/ Cloud Centers
Artificial Intelligence, Deep Learning, Machine Learning, Supercomputing
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HPC, Big Data, and AI Convergence Towards Exascale
Artificial Intelligence, Deep Learning, Machine Learning, Supercomputing
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Thinking with AI
…of study, the essays explore how concepts from artificial intelligence, machine learning, and data science can provide ways to rethink core humanistic questions of meaning, representation, and culture. Critical AI Studies typically focuses on AI’s societal implications—its role in surveillance…
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Fundamentals
Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Machine learning methods are inspected with respect…
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Discovery in Physics
Volume 2 covers knowledge discovery in particle and astroparticle physics. Instruments gather petabytes of data and machine learning is used to process the vast amounts of data and to detect relevant examples efficiently. The physical knowledge is encoded in simulations used to train the machine…
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Applications
Volume 3 describes how resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples: in health and medicine for risk modelling, diagnosis, and treatment selection for diseases in electronics…
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Recent Applications in Data Clustering
Clustering has emerged as one of the more fertile fields within data analytics, widely adopted by companies, research institutions, and educational entities as a tool to describe similar/different groups. The book Recent Applications in Data Clustering aims to provide an outlook of recent…