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Active learning (machine learning)
Known as:
Pool-based active learning
Active learning is a special case of semi-supervised machine learning in which a learning algorithm is able to interactively query the user (or some…
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Related topics
Related topics
14 relations
Bayesian experimental design
Cold start
Evolving intelligent system
List of datasets for machine learning research
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Towards a Tool for Interactive Concept Building for Large Scale Analysis in the Humanities
André Blessing
,
Jonathan Sonntag
,
Fritz Kliche
,
U. Heid
,
Jonas Kuhn
,
Manfred Stede
LaTeCH@ACL
2013
Corpus ID: 6711128
We develop a pipeline consisting of various text processing tools which is designed to assist political scientists in finding…
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2012
2012
Incremental Sparse Bayesian Method for Online Dialog Strategy Learning
Sungjin Lee
,
M. Eskénazi
IEEE Journal on Selected Topics in Signal…
2012
Corpus ID: 18611674
This paper proposes an incremental sparse Bayesian learning method to allow continuous dialog strategy learning from the…
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2011
2011
An Analysis of Errors in College English Writing in China
Wang
,
Huan
2011
Corpus ID: 18873808
This paper first explores the importance and significance of college English writing in China, then the current problems and the…
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Review
2010
Review
2010
Quit Surfing and Start "Clicking": One Professor's Effort to Combat the Problems of Teaching the U.S. Survey in a Large Lecture Hall
S. Cole
2010
Corpus ID: 146605875
Teaching an introductory survey course in a typical lecture hall presents a series of related obstacles. The large number of…
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2009
2009
Conflictos en el trabajo en grupo: cuatro casos habituales
P. del Canto
,
I. Gallego
,
+6 authors
Miguel Valero
2009
Corpus ID: 129875685
espanolEste articulo describe cuatro casos representativos de conflictos entre los miembros de un grupo cuando se utilizan…
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2009
2009
Multiple-Instance Active Learning for Image Categorization
Dong Liu
,
Xian-Sheng Hua
,
Lin-Jun Yang
,
Hong-Jiang 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
Active Learning with Spatially Sensitive Labeling Costs
Alexander Y. Liu
2008
Corpus ID: 17741745
In active learning, it is typically assumed that all instanc es require the same amount of effort to label and that the cost of…
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Highly Cited
2005
Highly Cited
2005
Semi-automatic video annotation based on active learning with multiple complementary predictors
Yan Song
,
Xian-Sheng Hua
,
Li-Rong Dai
,
Meng Wang
Multimedia Information Retrieval
2005
Corpus ID: 10311775
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that…
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2003
2003
Active Learning for Statistical Machine Translation
Chris Callison-Burch
2003
Corpus ID: 60120006
Disclosed is a training projectile having the same ballistic characteristic as the operational projectile. The training…
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2002
2002
Games worth playing: effective science teaching through active learning
M. Scholes
2002
Corpus ID: 82530840
Excellent teaching can be achieved In practice through a range of techniques that have been tested in various circumstances. The…
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