503 hasil untuk machine learning
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Spectral Feature Selection for Data Mining
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified…
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Data Science for Economics and Finance
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some…
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Chapter Enhancing the Realism of Virtual Construction Safety Training: Integration of Real-Time Location Systems for Real-World Hazard Simulations
…realism of safety training, especially when they need to experience human-machine-related interactions safely. However, further work is required to create more responsive learning environments where the equipment follows real trajectories but also responds intelligently to the trainees' actions. By…
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Quantitative Estimation of Total Body Water Loss During Physical Exercise
…cognitive performance. In this light, the present thesis proposes three machine learning approaches for quantitative estimation of TBW loss and two theoretical approaches for efficient, nonlinear machine learning. The former approaches support the accurate diagnosis of exercise-induced dehydration…
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Quantitative Risk Management in Agricultural Business
…data analysis techniques in agricultural risk and insurance include machine learning, spatial analysis, text analysis, and deep learning. In addition to scrutinizing these ideas, the authors introduce an economic perspective towards risk, highlighting areas that have developed thanks to…
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Computational Stylistics in Poetry, Prose, and Drama
…to literary studies, such as motif detection, network analysis, machine learning, and deep learning.
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Exploring digitally-mediated communication with corpora
…and computational linguistics, language technology, text technology, and machine learning.
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Land Carbon Cycle Modeling
…forecasting for decision support; and combining newly available machine learning techniques with process-based models to improve prediction of the land carbon cycle under climate change. This new edition includes seven new chapters: machine learning and its applications to carbon cycle research…
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Automatic German Text Simplification: Data, Evaluation, and Models
…difficult-to-read texts into accessible language is very time-consuming. Machine learning models such as large language models (LLMs) can assist with this intra-lingual translation task by providing drafts for professional translators. This volume takes a computational linguist’s perspective on…
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Artificial Intelligence Annual Volume 2024
…field. This volume deals with three key areas of the advancements in AI: machine learning and data mining, computer vision, and multi-agent systems. The increasing availability of vast data sets and powerful computing resources has enabled the development of more complex algorithms and models to…
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Chapter 3 From Big to Democratic Data
…role data plays for training contemporary AI and technologies such as machine learning. Our case study explores the role patient datasets have for machine learning research in healthcare and shows that publicly available datasets are central to advancing data analysis research; they can act as a…
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Einsatz Maschinellen Lernens zur datengetriebenen Synthese und Analyse von Produkteigenschaften im Kontext verknüpfter Produktdaten
…die Produktmerkmale und -eigenschaften als Variablen innerhalb eines Machine Learning Modells betrachtet. Die Erzeugung eines Machine Learning Modells erfolgt anhand der aus dem CRISP-DM entwickelten Schritte Datenaufbereitung, Modellierung, Evaluation und Optimierung, wodurch die Anwendung der…
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Intelligent Sensor Networks
…close integration of sensing, networking, and smart signal processing via machine learning. Based on their world-class research, the authors present the fundamentals of intelligent sensor networks. They cover sensing and sampling, distributed signal processing, and intelligent signal learning. In…
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Semantic Systems. The Power of AI and Knowledge Graphs
…They cover topics such as: web semantics and linked (open) data; machine learning and deep learning techniques; semantic information management and knowledge integration; terminology, thesaurus and ontology management; data mining and knowledge discovery; semantics in blockchain and distributed…
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Computer Aided Verification
…by expanding to new domains such as security, quantum computing, and machine learning.
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AI in Museums
…databases, the existing data can now become a field of application for machine learning, deep learning and foundation model approaches. This goes hand in hand with new artistic practices, curation tools, visitor analytics, chatbots, automatic translations and tailor-made text generation. With a…
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Formatives Assessment auf Basis von maschinellem Lernen
…Basierend auf den Propositionen und den Bewertungen wurden mehrere Machine-Learning-Modelle zur automatischen Auswertung der Propositionen entwickelt, die eine hohe Übereinstimmung mit den menschlichen Bewertungen aufwiesen. In der Folge wurde ein Feedback-Tool entwickelt, welches Lehrkräften und…
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Neural Networks
…that inform the computational project of the same name. If so-called machine learning comprises a statistical approach to pattern extraction, then neural networks can be defined as a biologically inspired model that relies on probabilistically weighted neuron-like units to identify such patterns…