Structured prediction

Known as: Latent variable structured perceptron, Structured perceptron, Structured learning 
Structured prediction or structured (output) learning is an umbrella term for supervised machine learning techniques that involves predicting… (More)
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Topic mentions per year

Topic mentions per year

1996-2017
05010019962017

Papers overview

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Highly Cited
2011
Highly Cited
2011
Sequential prediction problems such as imitation learning, where future observations depend on previous predictions (actions… (More)
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2011
2011
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient… (More)
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Highly Cited
2010
Highly Cited
2010
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and… (More)
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Highly Cited
2010
Highly Cited
2010
In discriminative machine learning one is interested in training a system to optimize a certain desired measure of performance… (More)
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Highly Cited
2009
Highly Cited
2009
We present Searn, an algorithm for integrating search and learning to solve complex structured prediction problems such as those… (More)
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Highly Cited
2008
Highly Cited
2008
We describe twin Gaussian processes (TGP), a generic structured prediction method that uses Gaussian process (GP) priors on both… (More)
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Highly Cited
2007
Highly Cited
2007
Promising approaches to structured learning problems have recently been developed in the maximum margin framework. Unfortunately… (More)
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Highly Cited
2006
Highly Cited
2006
The Maximum Margin Planning (MMP) (Ratliff et al., 2006) algorithm solves imitation learning problems by learning linear mappings… (More)
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Highly Cited
2005
Highly Cited
2005
We consider large margin estimation in a broad range of prediction models where inference involves solving combinatorial… (More)
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Highly Cited
2005
Highly Cited
2005
A common obstacle preventing the rapid deployment of supervised machine learning algorithms is the lack of labeled training data… (More)
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