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Active learning (machine learning)

Known as: Pool-based active learning 
Active learning is a special case of semi-supervised machine learning in which a learning algorithm is able to interactively query the user (or some… 
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Bayesian experimental designCold startEvolving intelligent systemList of datasets for machine learning research

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Machine learning

Papers overview

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Highly Cited
2013
Highly Cited
2013
Experimental evaluation of the impact of b-learning methodologies on engineering students in Spain
2013
2013
Reserved Self-training: A Semi-supervised Sentiment Classification Method for Chinese Microblogs
The imbalanced sentiment distribution of microblogs induces bad performance of binary classifiers on the minority class. To… 
2012
2012
Building a personalized audio equalizer interface with transfer learning and active learning
Potential users of audio production software, such as audio equalizers, may be discouraged by the complexity of the interface and… 
2011
2011
Active learning with adaptive regularization
2011
2011
Instructional design for the active: Employing interactive technologies and active learning exercises to enhance library instruction
In a variety of instructional scenarios, librarians at The University of North Carolina have been working to engage students with… 
Highly Cited
2010
Highly Cited
2010
Technology-Enabled Active Learning Environments: An Appraisal
This article examines the emergence of technology-enabled active learning environments and the reasons for their appearance. It… 
Review
2006
Review
2006
Are We Using Technology for Learning?
This study investigated the role that computer technology plays in transforming the learning process in higher education… 
2006
2006
Upper and Lower Error Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of ”active learning” algorithms. Active learning involves… 
2006
2006
Multi-Criterion Active Learning in Conditional Random Fields
Conditional random fields (CRFs), which are popular supervised learning models for many natural language processing (NLP) tasks… 
Highly Cited
2005
Highly Cited
2005
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that… 
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