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Multiple-instance learning

Known as: Multiple Instance Learning 
In machine learning, multiple-instance learning (MIL) is a variation on supervised learning. Instead of receiving a set of instances which are… 
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Papers overview

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2015
2015
1 Instituto de Astrofisica, Pontificia Universidad Catolica de Chile, Vicuna Mackenna 4860, Casilla 306, Santiago, Chile e-mail… 
2011
2011
The number of university students who present an early indebtedness has increased in the last years, which represents a potential… 
2009
2009
Both multiple-instance learning and active learning are widely employed in image categorization, but generally they are applied… 
2008
2008
Spatial or temporal reasoning is an important task for many applications in Artificial Intelligence, such as space scheduling… 
2007
2007
Most of the existing methods for natural scene categorization only consider whether a sample is relevant or irrelevant to a… 
2004
2004
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag’s label is not… 
Highly Cited
2003
Highly Cited
2003
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for… 
2002
2002
We present a numerical study of the downstream evolution (mechanical and thermal) of vortex-jet cores whose velocity and… 
2001
2001
Research on job satisfaction has a long tradition in Spain (Melia & Peiro, 1989). Determining factors, causes and antecedents of…