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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… 
2009
2009
Both multiple-instance learning and active learning are widely employed in image categorization, but generally they are applied… 
2009
2009
In contemporary contexts of Education for All and emphases on national educational performance, mass education globally continues… 
2009
2009
This paper describes a novel method for detecting vehicles on a highway using two visual features: color and texture. Our method… 
2007
2007
Most of the existing methods for natural scene categorization only consider whether a sample is relevant or irrelevant to a… 
Review
2007
Review
2007
It is well known that children’s production of grammatical morphemes is variable. This variability has been attributed (for… 
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… 
2003
2003
This paper introduces a new evaluation function for solving the multiple instance problem. Our approach makes use of the main… 
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…