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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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2013
2013
This dissertation brings critical visual culture studies to bear on mediatized representations of borders and migration in U.S… 
2010
2010
This paper presents multiple-instance learning based approach to multimodal data mining in a multimedia database. This approach… 
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… 
2007
2007
More and more often, public and private universities promote the use of free software in the university community and in the… 
2007
2007
We present a new machine learning approach for 3D-QSAR, the task of predicting binding afnities of molecules to target proteins… 
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… 
2001
2001
Research on job satisfaction has a long tradition in Spain (Melia & Peiro, 1989). Determining factors, causes and antecedents of…