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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
2019
Review
2019
Applications , Promises , and Pitfalls of Deep Learning for Fluorescence Image Reconstruction
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
Assessment of Landslide Susceptibility Using Statistical- and Artificial Intelligence-Based FR-RF Integrated Model and Multiresolution DEMs
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
Three-dimensional interstellar dust reddening maps of the Galactic plane
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
Overview of HAHA at IberLEF 2019: Humor Analysis based on Human Annotation
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
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
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
CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
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
Bayesian network based extreme learning machine for subjectivity detection
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: A Comprehensive Survey
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
Comparison of Naive Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression Classifiers for Text Reviews Classification
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
Selecting training sets for support vector machines: a review
Support vector machines (SVMs) are a supervised classifier successfully applied in a plethora of real-life applications. However… Expand
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