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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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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
Incremental Sparse Bayesian Method for Online Dialog Strategy Learning
This paper proposes an incremental sparse Bayesian learning method to allow continuous dialog strategy learning from the… 
2011
2011
Active learning: creating interactive crossword puzzles
Review
2010
Review
2010
Quit Surfing and Start "Clicking": One Professor's Effort to Combat the Problems of Teaching the U.S. Survey in a Large Lecture Hall
Teaching an introductory survey course in a typical lecture hall presents a series of related obstacles. The large number of… 
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… 
2004
2004
An active learning approach for assessing robot grasp reliability
Learning techniques in robotic grasping applications have usually been concerned with the way a hand approaches to an object, or… 
2003
2003
Active Learning for Statistical Machine Translation
Disclosed is a training projectile having the same ballistic characteristic as the operational projectile. The training… 
2003
2003
An Approach to Facilitating Reflection in a Mathematics Tutoring System
In this paper we present an approach which enables both reflection on the student’s own line of reasoning and active learning. We…