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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
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Deep Learning is a recent and important addition to the computational toolbox available for image reconstruction in fluorescence… Expand
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Review
2019
Review
2019
Landslide is one of the most important geomorphological hazards that cause significant ecological and economic losses and results… Expand
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Review
2019
Review
2019
We present new three-dimensional (3D) interstellar dust reddening maps of the Galactic plane in three colours, E(G-Ks), E(Bp-Rp… Expand
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Review
2019
Review
2019
This paper presents the results of the HAHA task at IberLEF 2019, the second edition of the challenge on automatic humor… Expand
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Review
2018
Review
2018
The correct use of model evaluation, model selection, and algorithm selection techniques is vital in academic machine learning… Expand
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Review
2018
Review
2018
Every year, the Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train… Expand
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Review
2018
Review
2018
Abstract Subjectivity detection is a task of natural language processing that aims to remove ‘factual’ or ‘neutral’ content, i.e… Expand
Review
2018
Review
2018
Online learning represents an important family of machine learning algorithms, in which a learner attempts to resolve an online… Expand
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Review
2017
Review
2017
Today, a largely scalable computing environment provides a possibility of carrying out various data-intensive natural language… Expand
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Review
2017
Review
2017
Support vector machines (SVMs) are a supervised classifier successfully applied in a plethora of real-life applications. However… Expand
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