Skip to search formSkip to main contentSkip to account menu

Experiential Learning

Known as: Active learning, Learning, Active, Learning, Experiential 
National Institutes of Health

Related topics

Related topics

1 relation
Problem-Based Learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams
Active learning (AL) is a promising way to efficiently build up training sets with minimal supervision. A learner deliberately… 
2018
2018
Deep Active Learning for Text Classification
In recent years, Active Learning (AL) has been applied in the domain of text classification successfully. However, traditional… 
2017
2017
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods
2016
2016
Improved Neural Signal Classification in a Rapid Serial Visual Presentation Task Using Active Learning.
The application space for brain-computer interface (BCI) technologies is rapidly expanding with improvements in technology… 
2016
2016
Data-Driven Derivation of an "Informer Compound Set" for Improved Selection of Active Compounds in High-Throughput Screening
Despite the usefulness of high-throughput screening (HTS) in drug discovery, for some systems, low assay throughput or high… 
2015
2015
Design of advanced active and autonomous learning system for computing education — A3 learning system
In this paper, we propose an advanced active autonomous learning system (A3 learning system), an educational system based on the… 
2015
2015
Semisupervised classification for hyperspectral image based on spatial-spectral clustering
Abstract. High-dimensional features and limited labeled training samples often lead to dimensionality disaster for hyperspectral… 
Review
2015
Review
2015
Surveying Assessment in Experiential Learning: A Single Campus Study.
The purpose of this study was to determine the methods of experiential assessment in use at a Canadian university and the extent… 
2014
2014
Spatial–Spectral Information-Based Semisupervised Classification Algorithm for Hyperspectral Imagery
Semisupervised learning has shown its great potential in land cover mapping. It exploits the information of unlabeled training… 
2013
2013
Practical coaching by mentors: student midwives' perceptions.
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)