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Test set

Known as: Holdout method, Training (disambiguation), Dataset (machine learning) 
In many areas of information science, finding predictive relationships from data is a very important task. Initial discovery of relationships is… Expand
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Related topics

Related topics

20 relations
Array data structureArtificial intelligenceCross-validation (statistics)Data mining
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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
Network Representation Learning: A Survey
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex… Expand
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Review
2019
Review
2019
A Survey on Network Embedding
Network embedding assigns nodes in a network to low-dimensional representations and effectively preserves the network structure… Expand
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Review
2018
Review
2018
Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods
Traditionally, analytical methods have been used to solve imaging problems such as image restoration, inpainting, and… Expand
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Review
2018
Review
2018
RBFOpt: an open-source library for black-box optimization with costly function evaluations
We consider the problem of optimizing an unknown function given as an oracle over a mixed-integer box-constrained set. We assume… Expand
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Review
2017
Review
2017
A review of semantic segmentation using deep neural networks
During the long history of computer vision, one of the grand challenges has been semantic segmentation which is the ability to… Expand
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Review
2017
Review
2017
Machine learning for neural decoding
Despite rapid advances in machine learning tools, the majority of neural decoding approaches still use traditional methods… Expand
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Review
2017
Review
2017
Authorship Attribution for Social Media Forensics
The veil of anonymity provided by smartphones with pre-paid SIM cards, public Wi-Fi hotspots, and distributed networks like Tor… Expand
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Review
2017
Review
2017
Temporal multimodal fusion for video emotion classification in the wild
This paper addresses the question of emotion classification. The task consists in predicting emotion labels (taken among a set of… Expand
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Review
2017
Review
2017
Detecting Cancer Metastases on Gigapixel Pathology Images
Each year, the treatment decisions for more than 230,000 breast cancer patients in the U.S. hinge on whether the cancer has… Expand
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Review
2016
Review
2016
Deep Learning in Natural Language Processing
Deep learning has emerged as a highly efficient technique in machine learning to perform text analytics, which includes text… Expand
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