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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.
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
Explanation-Based Attention for Semi-Supervised Deep Active Learning
We introduce an attention mechanism to improve feature extraction for deep active learning (AL) in the semi-supervised setting… 
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… 
2016
2016
Students’ perceived predictors of an effective active learning/problem‐based learning session: a pilot study
Abstract: Active learning (AL)/problem‐based learning (PBL) has been shown to improve the reasoning, communication and team‐work… 
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… 
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… 
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… 
Review
2011
Review
2011
AL 2 : Learning for Active Learning
We introduce AL2, a pool-based active learning approach that learns how to inform the active set selection. The framework is… 
2008
2008
Advances in the Design of Gaussian Processes as Surrogate Models for Computer Experiments
We present some advances in the design of computer experiments. A Gaussian Process (GP) model is fitted to the computer… 
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