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Statistical classification

Known as: Classifier, Classification (machine learning), Classification 
In machine learning and statistics, classification is the problem of identifying to which of a set of categories (sub-populations) a new observation… Expand
Wikipedia

Related topics

Related topics

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Apache SparkAutomated essay scoringBeta skeletonBias–variance tradeoff
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Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Deep Learning Algorithms for Bearing Fault Diagnosticsx—A Comprehensive Review
In this survey paper, we systematically summarize existing literature on bearing fault diagnostics with deep learning (DL… Expand
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Review
2019
Review
2019
Survey on deep learning with class imbalance
The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective… Expand
Review
2019
Review
2019
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
Question-answering plays an important role in e-commerce as it allows potential customers to actively seek crucial information… Expand
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Review
2019
Review
2019
Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review
Abstract The increasing volume of user-generated content on the web has made sentiment analysis an important tool for the… Expand
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Review
2019
Review
2019
The Zwicky Transient Facility: Data Processing, Products, and Archive
The Zwicky Transient Facility (ZTF) is a new robotic time-domain survey currently in progress using the Palomar 48-inch Schmidt… Expand
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Review
2018
Review
2018
An Analysis of Annotated Corpora for Emotion Classification in Text
Several datasets have been annotated and published for classification of emotions. They differ in several ways: (1) the use of… Expand
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Review
2018
Review
2018
Mental health monitoring with multimodal sensing and machine learning: A survey
Abstract Personal and ubiquitous sensing technologies such as smartphones have allowed the continuous collection of data in an… Expand
Review
2018
Review
2018
Digital Twin in manufacturing: A categorical literature review and classification
Abstract The Digital Twin (DT) is commonly known as a key enabler for the digital transformation, however, in literature is no… Expand
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Review
2018
Review
2018
A Survey on Human Face Expression Recognition Techniques
Abstract Human Face expression Recognition is one of the most powerful and challenging tasks in social communication. Generally… Expand
Review
2017
Review
2017
IoT-based information system for healthcare application : Design methodology approach
Over the last few decades, life expectancy has increased significantly. However, elderly people who live on their own often need… Expand
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