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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

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Active learning for low-resource speech recognition: Impact of selection size and language modeling data
Active learning aims to reduce the time and cost of developing speech recognition systems by selecting for transcription highly… 
2012
2012
Multi-objective ranking of comments on web
With the explosion of information on any topic, the need for ranking is becoming very critical. Ranking typically depends on… 
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… 
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
Promoting Knowledge, Attitude and Practices (KAP) of the Mothers in their Girls’ Pubertal Health Based on Peer Education Approach
BACKGROUND AND OBJECTIVE: Communication and educational approaches in health promotion of adolescents has been challenging. Peer… 
2007
2007
Active Learning Strategies for Teaching Lean Thinking
Active learning is a method of designing instruction so that classroom students are actively involved in learning concepts and… 
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… 
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