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Structured prediction
Known as:
Latent variable structured perceptron
, Structured perceptron
, Structured learning
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Structured prediction or structured (output) learning is an umbrella term for supervised machine learning techniques that involves predicting…
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Related topics
Related topics
30 relations
Bayesian network
Bias–variance tradeoff
Bioinformatics
Branch and bound
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Innovations in STEM education: the Go-Lab federation of online labs
T. Jong
,
S. Sotiriou
,
D. Gillet
Smart Learning Environments
2014
Corpus ID: 3742754
The Go-Lab federation of online labs opens up virtual laboratories (simulation), remote laboratories (real equipment accessible…
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Highly Cited
2012
Highly Cited
2012
Efficient structured prediction for 3D indoor scene understanding
A. Schwing
,
Tamir Hazan
,
M. Pollefeys
,
R. Urtasun
IEEE Conference on Computer Vision and Pattern…
2012
Corpus ID: 13477042
Existing approaches to indoor scene understanding formulate the problem as a structured prediction task focusing on estimating…
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Highly Cited
2010
Highly Cited
2010
Direct Loss Minimization for Structured Prediction
David A. McAllester
,
Tamir Hazan
,
Joseph Keshet
Neural Information Processing Systems
2010
Corpus ID: 1495057
In discriminative machine learning one is interested in training a system to optimize a certain desired measure of performance…
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Highly Cited
2010
Highly Cited
2010
High Five: Recognising human interactions in TV shows
Alonso Patron-Perez
,
Marcin Marszalek
,
Andrew Zisserman
,
I. Reid
British Machine Vision Conference
2010
Corpus ID: 199597
In this paper we address the problem of recognising interactions between two people in realistic scenarios for video retrieval…
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Review
2009
Review
2009
Performance Measurement in Simulation-Based Training
E. Salas
,
M. Rosen
,
Janet D. Held
,
J. Weissmuller
2009
Corpus ID: 61487449
Simulation-based training (SBT) is a methodology for providing systematic and structured learning experiences. The effectinvess…
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Highly Cited
2008
Highly Cited
2008
Learning Grasp Strategies with Partial Shape Information
Ashutosh Saxena
,
Lawson L. S. Wong
,
A. Ng
AAAI Conference on Artificial Intelligence
2008
Corpus ID: 14639023
We consider the problem of grasping novel objects in cluttered environments. If a full 3-d model of the scene were available, one…
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Highly Cited
2007
Highly Cited
2007
Structured Prediction Models via the Matrix-Tree Theorem
Terry Koo
,
A. Globerson
,
X. Carreras
,
M. Collins
Conference on Empirical Methods in Natural…
2007
Corpus ID: 11896512
This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently…
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Highly Cited
2006
Highly Cited
2006
Boosting Structured Prediction for Imitation Learning
Nathan D. Ratliff
,
David M. Bradley
,
J. Bagnell
,
Joel E. Chestnutt
Neural Information Processing Systems
2006
Corpus ID: 1528918
The Maximum Margin Planning (MMP) (Ratliff et al., 2006) algorithm solves imitation learning problems by learning linear mappings…
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Highly Cited
2002
Highly Cited
2002
A mobile scaffolding-aid-based bird-watching learning system
Yuh-Shyan Chen
,
Tai-Chien Kao
,
J. Sheu
,
Chao-Yu Chiang
Proceedings. IEEE International Workshop on…
2002
Corpus ID: 4978698
In this paper, we develop a mobile scaffolding-aid-based bird-watching learning system, which aims to construct an outdoor…
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Highly Cited
2000
Highly Cited
2000
Designing Learning Environments for Cultural Inclusivity: A Case Study of Indigenous Online Learning at Tertiary Level.
C. McLoughlin
,
R. Oliver
2000
Corpus ID: 61581202
Flexible delivery of educational resources must take account of cultural variables and recognise the specific learning needs…
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