204,674 results for machine learning
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Journal Article
Machine Learning–Driven Language Assessment
…can be valid, reliable, and secure. Our approach is the first to use machine learning and natural language processing to induce proficiency scales based on a given standard, and then use linguistic models to estimate item difficulty directly for computer-adaptive testing. This alleviates the need…
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Journal Article
Machine learning in polymer informatics
…has brought challenges to their development. Thanks to the integration of machine learning algorithms and large data resources, the data‐driven methods have opened up a new road for the development of polymer science and engineering. The emerging polymer informatics attempts to accelerate the…
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Journal Article
Machine-learning reprogrammable metasurface imager
Conventional imagers require time-consuming data acquisition, or complicated reconstruction algorithms for data post-processing. Here, the authors demonstrate a real-time digital-metasurface imager that can be trained in-situ to show high accuracy image coding and recognition for various image sets.
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Journal Article Full text
Machine learning for algorithmic trading
The purpose of the study is to confirm the feasibility of using machine learning methods to predict the behavior of the foreign exchange market. The article examines the theoretical and practical aspects of the implementation of artificial neural networks in the process of Internet trading. We…
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Journal Article
Machine learning and quantum devices
These brief lecture notes cover the basics of neural networks and deep learning as well as their applications in the quantum domain, for physicists without prior knowledge. In the first part, we describe training using backpropagation, image classification, convolutional networks and autoencoders…
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Journal Article
Cyberbullying Detection using Machine Learning
It is an age of the Internet and electronic media, and social media platforms are one of the most frequently used communication medium nowadays. But some people use these sites for malicious purpose and among those negative aspects "Cyberbullying" is prevalent. Cyberbullying is a form of bullying…
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Journal Article Full text
Machine Learning with ROOT/TMVA
ROOT provides, through TMVA, machine learning tools for data analysis at HEP experiments and beyond. We present recently included features in TMVA and the strategy for future developments in the diversified machine learning landscape. Focus is put on fast machine learning inference, which enables…
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Journal Article
Distributed machine learning for IoT
In the modern world, big data is used in machine learning, which is quite difficult to process on a single computer, so various methods for parallel processing of such data are being developed. But what about microcontrollers? In a cloud system, microcontrollers are often found, thanks to which…
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Journal Article
Using Machine Learning in Forestry
…in the number of academic studies in which modern approaches such as machine learning and recently emerged automatic machine learning (AutoML) are integrated into decision-making processes in forestry. This study aims to increase further the comprehensibility of machine learning algorithms in the…
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Journal Article
Machine learning for quantum matter
…systems have turned their attention to the algorithms underlying modern machine learning with an eye on making progress in their fields. Here we provide a short review on the recent development and adaptation of machine learning ideas for the purpose advancing research in quantum matter, including…
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Journal Article
Jet charge and machine learning
Abstract Modern machine learning techniques, such as convolutional, recurrent and recursive neural networks, have shown promise for jet substructure at the Large Hadron Collider. For example, they have demonstrated effectiveness at boosted top or W boson identification or for quark/gluon…
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Journal Article
Machine learning line bundle connections
We study the use of machine learning for finding numerical hermitian Yang–Mills connections on line bundles over Calabi–Yau manifolds. Defining an appropriate loss function and focusing on the examples of an elliptic curve, a K3 surface and a quintic threefold, we show that neural networks can be…
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Journal Article Full text
Machine Learning in E-Commerce
…functionality and advanced implementation based on the integration of machine learning algorithms. The adequacy and advantages / disadvantages of different methods, such as general recommendation systems and content-based recommendations, were analyzed and presented. This type of implementation is…
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Journal Article
Machine Learning, Understanding, and Interaction
High-performance machine learning models generally suffer from a lack of transparency that calls into question the ability of humans to understand how they work. Through the study of CoMo, an interactive learning system that allows users to associate sounds and gestures, we show that a form of…
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Journal Article
Machine Learning Applications for Cybersecurity
The trope of future cybersecurity as a battle between warring artificial intelligences awaits the development of artificial general intelligence. In the interim, however, machine learning is being applied to several cybersecurity problem sets. This article looks more closely at how machine learning…
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Journal Article
Rethinking machine learning for engineering
Machine learning (ML) has driven major advances across engineering domains, from early data-driven approaches to deep learning and, more recently, foundation models. Despite rapidly increasing model capabilities, the practical impact of ML in engineering systems remains limited. We argue that this…
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