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Experiential Learning

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

Papers overview

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2019
2019
Supervised machine learning methods usually require a large set of labeled examples for model training. However, in many real… 
Review
2018
Review
2018
We report a framework for spectroscopic follow-up design for optimizing supernova photometric classification. The strategy… 
Review
2017
Review
2017
ABSTRACT Understanding epigenetic processes holds immense promise for medical applications. Advances in Machine Learning (ML) are… 
Highly Cited
2016
Highly Cited
2016
Augmenting spectral data with spatial information for image classification has recently gained significant attention, as… 
Highly Cited
2015
Highly Cited
2015
We present a noise resilient probabilistic model for active learning of a Gaussian process classifier from crowds, i.e., a set of… 
Review
2013
Review
2013
OBJECTIVES Generalizable, high-throughput phenotyping methods based on supervised machine learning (ML) algorithms could… 
Review
2010
Review
2010
Objectives. To assess students' performance and perceptions of team-based and mixed active-learning methods in 2 ambulatory care… 
Highly Cited
2003
Highly Cited
2003
Abstract At a time when ‘informal’ and ‘practice-based’ learning are receiving unprecedented emphasis in lifelong learning…