503 results for machine learning
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AI for Everyone?
…Part 1, AI: Humans vs. Machines, presents critical perspectives on human-machine dualism. Part 2, Discourses and Myths About AI, excavates metaphors and policies to ask normative questions about what is ‘desirable’ AI and what conditions make this possible. Part 3, AI Power and Inequalities…
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The Road to General Intelligence
…the range of viable automation tasks.The recent notable successes of Machine Learning has lead to conjecture that it might be the appropriate technology for delivering General Intelligence. In this book, we argue that the framework of machine learning is fundamentally at odds with any reasonable…
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Multiple-Aspect Analysis of Semantic Trajectories
…MASTER 2019, held in conjunction with the 19th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 full papers presented were carefully reviewed and selected from 12 submissions. They represent an interesting…
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Smartphones from an Applied Research Perspective
Smartphones from an Applied Research Perspective highlights latest advancements of research undertaken in multidisciplinary fields where the smartphone plays a central role. Smartphone is synonymous to innovation in today's society. Very few visionaries predicted its social, cultural, technological…
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Applied Data Science and Smart Systems
…across different domains such as artificial intel>ligence and machine learning, software engineering, automation, data science, business computing, data com>munication, and computer networks. The presenters shared their most recent research works that are critical to contemporary business and…
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Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020
The proceedings of the 30th workshop on computational intelligence focus on methods, applications, and tools for fuzzy systems, artificial neural networks, deep learning, system identification, and data mining techniques.
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Chapter Efficient Data Curation Using Active Learning for a Video-Based Fire Detection
…and expensive, making it difficult to obtain sufficient data for training machine learning models. To address this challenge, uncertainty-based active learning techniques can be used to iteratively select the most informative samples for labeling. This can reduce the amount of labeled data needed…
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Proceedings of the Second International Forum on Financial Mathematics and Financial Technology
…mathematical models and state-of-the-art technologies such as deep learning, with the aim to improve the financial analysis and decision-making and enhance the quality of financial services and risk control. The variety of the papers delivers added value for both scholars and practitioners where…
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Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022
This conference volume contains the contributions of the 32nd workshop "Computational Intelligence" of the Technical Committee 5.14 of the VDI/VDE Society for Measurement and Automation Technology (GMA) of 1.12. – 2.12.2022 in Berlin. The focus is on methods, applications and tools for.
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Sustainability in Urban Planning and Design
This book has been prepared to embody the major and efficient applications of the different duties and the role of sustainability in urban planning and design, by a new reading of the city structure and composition, as well as offering a solid and clear concept for this kind of science. The book…
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Erklärbare Künstliche Intelligenz - Steigerung der Nachvollziehbarkeit überwachter maschineller Lernverfahren
…more understandable. This work contributes to explainable supervised machine learning by introducing a procedure model with five types of explanations and proposing global and local surrogate models to explain both overall model behavior and individual decisions.
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Graph Theory
This book is prepared as a combination of the manuscripts submitted by respected mathematicians and scientists around the world. As an editor, I truly enjoyed reading each manuscript. Not only will the methods and explanations help you to understand more about graph theory, but I also hope you will…
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Entwicklung eines Vorgehensmodells zur automatisierten Ähnlichkeitssuche in den frühen Phasen der Produktentwicklung
Das Nutzen vorhandener Daten im Produktentwicklungsprozess verspricht eine erhöhte Produktqualität, weniger Risiken in der Entwicklung, sowie geringeren Zeit- und Kostenbedarf. Insgesamt sind dadurch weniger Ressourcen für die Entwicklung neuer Produkte notwendig, was zu einer nachhaltigen…
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Chapter Artificial Intelligence Data Science Methodology for Earth Observation
This chapter describes a Copernicus Access Platform Intermediate Layers Small-Scale Demonstrator, which is a general platform for the handling, analysis, and interpretation of Earth observation satellite images, mainly exploiting big data of the European Copernicus Programme by artificial…
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Digital Twin
…edge computing, Blockchain and Artificial Intelligence, and distributed machine learning (e.g., federated learning, multi-agent deep reinforcement learning). We also present a wide application of DT as an enabling technology for 6G networks, Aerial-Ground Networks, and Unmanned Aerial Vehicles…
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Smart Racket – Instrumented Racket as Real-time Feedback Device in Table Tennis
In modern sports, often digitalized sensor systems are applied to monitor amateur and professional athletes. Since latest advances in miniaturization of electronic components and data analysis techniques opened new possibilities in sensor design, tiny measurement devices can easily be integrated…
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Bridging the Gap Between AI and Reality
…may allow certain levels of assistance; and education in times of deep learning.
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Chapter Predicting Mental Workload of Using Exoskeletons for Construction Work: A Deep Learning Approach
…inform strategies to mitigate the triggers. This study investigates a machine-learning framework for predicting mental workload of workers while using active back-support exoskeletons for construction work. Laboratory experiments were conducted wherein Electroencephalography (EEG) data were…
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AI Robotics
Artificial intelligence (AI) robots can learn from their experiences, make decisions in real time, understand natural language and human gestures, and utilize computer vision to perceive and comprehend their environments. Beginning with the rudimentary concepts of AI, AI Robotics: Ethics…
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BEING PROFILED:COGITAS ERGO SUM
Profiling the European citizen: why today's democracy needs to look harder at the negative potential of new technology than at its positive potential.