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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 classification
Content-based image retrieval
Document classification
Kernel embedding of distributions
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Bulge RR Lyrae stars in the VVV tile b201
F. Gran
,
D. Minniti
,
+5 authors
M. Catelán
2015
Corpus ID: 55221826
1 Instituto de Astrofisica, Pontificia Universidad Catolica de Chile, Vicuna Mackenna 4860, Casilla 306, Santiago, Chile e-mail…
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2015
2015
Two-person interaction recognition via spatial multiple instance embedding
Fadime Sener
,
Nazli Ikizler-Cinbis
Journal of Visual Communication and Image…
2015
Corpus ID: 206652196
2011
2011
Escala de Actitudes hacia el Endeudamiento: validez factorial y perfiles actitudinales en estudiantes universitarios chilenos
M. D. Coria
,
Daniel Cabezas Gaete
,
Carlos del Valle Rojas
,
Y. Gómez
,
Jocelyne Sepúlveda Aravena
2011
Corpus ID: 142820934
The number of university students who present an early indebtedness has increased in the last years, which represents a potential…
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2009
2009
Multiple-Instance Active Learning for Image Categorization
Dong Liu
,
Xiansheng Hua
,
Linjun Yang
,
HongJiang Zhang
Conference on Multimedia Modeling
2009
Corpus ID: 13513165
Both multiple-instance learning and active learning are widely employed in image categorization, but generally they are applied…
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2008
2008
A Framework for Merging Qualitative Constraints Networks
Jean-François Condotta
,
S. Kaci
,
Nicolas Schwind
The Florida AI Research Society
2008
Corpus ID: 11032573
Spatial or temporal reasoning is an important task for many applications in Artificial Intelligence, such as space scheduling…
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2007
2007
Typicality ranking via semi-supervised multiple-instance learning
Jinhui Tang
,
Xiansheng Hua
,
Guo-Jun Qi
,
Xiuqing Wu
ACM Multimedia
2007
Corpus ID: 3010319
Most of the existing methods for natural scene categorization only consider whether a sample is relevant or irrelevant to a…
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2004
2004
A Faster Algorithm for Generalized Multiple-Instance Learning
Qingping Tao
,
S. Scott
The Florida AI Research Society
2004
Corpus ID: 5542308
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag’s label is not…
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Highly Cited
2003
Highly Cited
2003
Multiple-Instance Learning via Disjunctive Programming Boosting
Stuart Andrews
,
Thomas Hofmann
Neural Information Processing Systems
2003
Corpus ID: 8764624
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for…
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2002
2002
Downstream evolution of unconfined vortices: mechanical and thermal aspects
Miguel Pérez-Saborid
,
M. Herrada
,
A. Gómez-Barea
,
A. Barrero
Journal of Fluid Mechanics
2002
Corpus ID: 123086519
We present a numerical study of the downstream evolution (mechanical and thermal) of vortex-jet cores whose velocity and…
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2001
2001
Job Satisfaction in Banking Workers
R. Vallejo
,
J. Vallejo
,
Sixto Olivar Parra
2001
Corpus ID: 54856314
Research on job satisfaction has a long tradition in Spain (Melia & Peiro, 1989). Determining factors, causes and antecedents of…
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