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Supervised learning

Known as: Fully-supervised machine learning, Supervised Machine Learning, Supervised classification 
Supervised learning is the machine learning task of inferring a function from labeled training data. The training data consist of a set of training… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
This work considers the question of how convenient access to copious data impacts our ability to learn causal effects and… 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
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a… Expand
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Review
2019
Review
2019
Abstractive summarization has been studied using neural sequence transduction methods with datasets of large, paired document… Expand
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Review
2019
Review
2019
While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has… Expand
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Review
2019
Review
2019
This paper is a broad and accessible survey of the methods we have at our disposal for Monte Carlo gradient estimation in machine… Expand
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Review
2019
Review
2019
The visual saliency detection model simulates the human visual system to perceive the scene and has been widely used in many… Expand
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Review
2018
Review
2018
As a new classification platform, deep learning has recently received increasing attention from researchers and has been… Expand
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Review
2018
Review
2018
Rating platforms enable large-scale collection of user opinion about items(e.g., products or other users). However, untrustworthy… Expand
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Review
2018
Review
2018
Abstract Opinion spammers exploit consumer trust by posting false or deceptive reviews that may have a negative impact on both… Expand
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