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Machine learning

Known as: Adaptive machine learning, Statistical learning, Learning algorithms 
Machine learning is the subfield of computer science that "gives computers the ability to learn without being explicitly programmed" (Arthur Samuel… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Federated learning involves training statistical models over remote devices or siloed data centers, such as mobile phones or… Expand
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Review
2019
Review
2019
The Internet of Things (IoT) is the next era of communication. Using the IoT, physical objects can be empowered to create… Expand
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Review
2019
Review
2019
The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from field measurements, experiments… Expand
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Review
2019
Review
2019
Machine learning (ML) encompasses a broad range of algorithms and modeling tools used for a vast array of data processing tasks… Expand
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Review
2019
Review
2019
Abstract The Internet of Things (IoT) is expected to require more effective and efficient wireless communications than ever… Expand
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Review
2019
Review
2019
In order to effectively provide ultra reliable low latency communications and pervasive connectivity for Internet of Things (IoT… Expand
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Review
2019
Review
2019
Hybrid quantum-classical systems make it possible to utilize existing quantum computers to their fullest extent. Within this… Expand
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Review
2019
Review
2019
With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications… Expand
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Review
2019
Review
2019
The quest of `can machines think' and `can machines do what human do' are quests that drive the development of artificial… Expand
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Review
2019
Review
2019
Abstract Nowadays, Deep Learning is the most attractive research trend in the area of Machine Learning. With the ability of… Expand
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