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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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Related topics

Related topics

11 relations
Binary classificationContent-based image retrievalDocument classificationKernel embedding of distributions

Broader (1)

Machine learning

Papers overview

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2010
2010
A Multiple-Instance Learning Based Approach to Multimodal Data Mining
This paper presents multiple-instance learning based approach to multimodal data mining in a multimedia database. This approach… 
2009
2009
Multiple-Instance Active Learning for Image Categorization
Both multiple-instance learning and active learning are widely employed in image categorization, but generally they are applied… 
2009
2009
Mass Schooling for Socialist Transformation in Cuba and Venezuela
In contemporary contexts of Education for All and emphases on national educational performance, mass education globally continues… 
2009
2009
Homogeneous Multi-Instance Learning with Arbitrary Dependence
In the supervised learning setting termed Multiple-Instance Learning (MIL), the examples are bags of instances, and the bag label… 
2007
2007
LA PROMOCIÓN DEL USO DEL SOFTWARE LIBRE POR PARTE DE LAS UNIVERSIDADES
More and more often, public and private universities promote the use of free software in the university community and in the… 
2007
2007
Beyond Indigenismo: Contemporary Mexican Literature of Indigenous Theme
2004
2004
A Faster Algorithm for Generalized Multiple-Instance Learning
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
Chi-squared: A simpler evaluation function for multiple-instance learning
This paper introduces a new evaluation function for solving the multiple instance problem. Our approach makes use of the main… 
2001
2001
Job Satisfaction in Banking Workers
Research on job satisfaction has a long tradition in Spain (Melia & Peiro, 1989). Determining factors, causes and antecedents of… 
1995
1995
Advances in Analogy-Based Learning: False Friends and Exceptional Items in Pronunciation By Paradigm
When looked at from a multilingual perspective, grapheme-to-phoneme conversion is a challenging task, fraught with most of the…