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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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Papers overview

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2013
2013
We develop a pipeline consisting of various text processing tools which is designed to assist political scientists in finding… 
2012
2012
This paper proposes an incremental sparse Bayesian learning method to allow continuous dialog strategy learning from the… 
2011
2011
This paper first explores the importance and significance of college English writing in China, then the current problems and the… 
Review
2010
Review
2010
Teaching an introductory survey course in a typical lecture hall presents a series of related obstacles. The large number of… 
2009
2009
espanolEste articulo describe cuatro casos representativos de conflictos entre los miembros de un grupo cuando se utilizan… 
2009
2009
Both multiple-instance learning and active learning are widely employed in image categorization, but generally they are applied… 
2008
2008
In active learning, it is typically assumed that all instanc es require the same amount of effort to label and that the cost of… 
Highly Cited
2005
Highly Cited
2005
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that… 
2003
2003
Disclosed is a training projectile having the same ballistic characteristic as the operational projectile. The training… 
2002
2002
Excellent teaching can be achieved In practice through a range of techniques that have been tested in various circumstances. The…