503 hasil untuk machine learning
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Metalearning
This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on…
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Navigating Post-Pandemic Challenges
…dialogue, it explores how innovation, inclusion, and global citizenship learning shape today’s educational and social landscapes, bridging boundaries between language, culture, and human well-being. This volume is organized around three major strands – Language, Culture & Communication; Curriculum…
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Concepts in Action
…points of view that lie at the core of concept research: representation, learning, and application. The contributions present a combination of theoretical, experimental, computational, and applied methods that appeal to students and researchers working in these fields.
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Understanding and mitigating cyberfraud in Africa
The book covers the overview of cyberfraud and the associated global statistics. It demonstrates practicable techniques that financial institutions can employ to make effective decisions geared towards cyberfraud mitigation. Furthermore, the book contains some emerging technologies, such as…
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IMMU-based Orientation Determination in Sports Analytics
…orientation is calculated and processed for motion visualization and machine learning. Board sport tricks are automatically detected and subsequently classified for trick category and type. The methods of this work were already partially applied for TV broadcast of international competitions (e.g…
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Smart parking in fast-growing cities
"Parking in cities is a challenge everywhere, but to a greater extent for the cities in low- and middle-income countries: Cities that are experiencing rapid urbanization and increasing motorization, where free on-street parking meets haphazard parking behaviour, and where investment capacity for…
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Gefühle Vermessen
Seit Anfang der 2010er Jahre beschäftigt sich das Affective Computing mit der Entwicklung von digitalen Technologien zur automatischen Erfassung menschlicher Gefühle. Das sogenannte emotion detection operiert auf Grundlage des Facial Action Coding System (FACS), einem Klassifikationssystem für…
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Artificial Intelligence and Data Science in Agriculture
Specialty crops—fruits, vegetables, nuts, horticulture, and nursery crops—are a powerful engine of agricultural growth, contributing nearly one-fifth of U.S. farm revenues and driving a $1.6 trillion global market. As demand rises and climate challenges intensify, growers need smarter tools to stay…
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Strategic Innovative Marketing and Tourism
This open access book presents the latest findings of researchers from around the globe who presented their work at the 10th international conference of Strategic Innovative Marketing and Tourism (ICSIMAT) in 2023. It provides an up-to-date information and discusses current trends, issues, and…
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AI - Limits and Prospects of Artificial Intelligence
The emergence of artificial intelligence has triggered enthusiasm and promise of boundless opportunities as much as uncertainty about its limits. The contributions to this volume explore the limits of AI, describe the necessary conditions for its functionality, reveal its attendant technical and…
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Chapter T: Particles
…applied to numerous fields; Chinese syntax and semantics, lexicography, machine translation and other language engineering bound applications.
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Chapter 5 What activities can help students use technologies better?
How to Augment Language Skills outlines ways in which translators and language providers can expand their skillset and how translation technologies can be integrated into language learning and translator training. This book explains the basics of generative AI, machine translation, and translation…
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How to Augment Language Skills
How to Augment Language Skills outlines ways in which translators and language providers can expand their skillset and how translation technologies can be integrated into language learning and translator training. This book explains the basics of generative AI, machine translation, and translation…
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Chapter N: Content Words
…applied to numerous fields; Chinese syntax and semantics, lexicography, machine translation and other language engineering bound applications.
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Chapter D: Adverbs
…applied to numerous fields; Chinese syntax and semantics, lexicography, machine translation and other language engineering bound applications.
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Security Risk Management for the Internet of Things
…based on the edge/fog computing paradigm. It also highlights machine learning techniques that boost the automation and proactiveness of IoT security risk assessments. Furthermore, blockchain solutions for open and transparent sharing of IoT security information across the supply chain are…
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Tensor Network Contractions
…to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has…
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Chapter A: Non-Predicative Adjectives
…applied to numerous fields; Chinese syntax and semantics, lexicography, machine translation and other language engineering bound applications.
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Chapter I: Interjections
…applied to numerous fields; Chinese syntax and semantics, lexicography, machine translation and other language engineering bound applications.
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Chapter V: Verbs
…applied to numerous fields; Chinese syntax and semantics, lexicography, machine translation and other language engineering bound applications.