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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… 
2011
2011
Active learning with adaptive regularization
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… 
2010
2010
MULTI-CLASS SUPPORT VECTOR MACHINE ACTIVE LEARNING FOR MUSIC ANNOTATION
Music annotation is an important research topic in the multimedia area. One of the challenges in music annotation is how to… 
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… 
2006
2006
Video Annotation by Active Learning and Cluster Tuning
Supervised and semi-supervised learning are frequently applied methods to annotate videos by map..ing low-level features into… 
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… 
2003
2003
Active Learning for Statistical Machine Translation
Disclosed is a training projectile having the same ballistic characteristic as the operational projectile. The training… 
1997
1997
An evolutionary method for active learning of mobile robot path planning
Several evolutionary algorithms have been proposed for robot path planning. Most existing methods for evolutionary path planning… 
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