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Feature engineering

Feature engineering is the process of using domain knowledge of the data to create features that make machine learning algorithms work. Feature… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
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
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
2018
Review
2018
Data collection is a major bottleneck in machine learning and an active research topic in multiple communities. There are largely… Expand
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Review
2018
Review
2018
The increasing amount of data in electromyographic (EMG) signal research has greatly increased the importance of developing… Expand
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Review
2017
Review
2017
Software security vulnerabilities are one of the critical issues in the realm of computer security. Due to their potential high… Expand
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Highly Cited
2014
Highly Cited
2014
  • W. Li, R. Zhao, Tong Xiao, X. Wang
  • IEEE Conference on Computer Vision and Pattern…
  • 2014
  • Corpus ID: 938105
Person re-identification is to match pedestrian images from disjoint camera views detected by pedestrian detectors. Challenges… Expand
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Highly Cited
2011
Highly Cited
2011
We investigate the potential of Context-Dependent Deep-Neural-Network HMMs, or CD-DNN-HMMs, from a feature-engineering… Expand
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Highly Cited
2010
Highly Cited
2010
  • Bing Liu
  • Handbook of Natural Language Processing
  • 2010
  • Corpus ID: 13908471
An intraocular lens for implantation in an eye comprising an optic configured so that the optic can be deformed to permit the… Expand
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Highly Cited
1999
Highly Cited
1999
Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a… Expand
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Highly Cited
1999
Highly Cited
1999
Abstract The gulf between the user and the developer perspectives lead to difficulties in producing successful software systems… Expand
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