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Experiential Learning

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

Related topics

Related topics

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Problem-Based Learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Augmented Memory Networks for Streaming-Based Active One-Shot Learning
One of the major challenges in training deep architectures for predictive tasks is the scarcity and cost of labeled training data… 
2019
2019
Batch Mode Query by Committee for Motor Imagery-Based BCI
Although brain–computer interface (BCI) has potential application in the rehabilitation of neural disease and performance… 
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… 
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… 
2012
2012
A novel active learning method for support vector regression to estimate biophysical parameters from remotely sensed images
This paper presents a novel active learning (AL) technique in the context of ε-insensitive support vector regression (SVR) to… 
2012
2012
Experiential Learning and Learning Space: Implication for TVET
Increasing interest in learning spaces is discussed across the fields of architecture, facilities management (FM) and education… 
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