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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… Expand
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Papers overview

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Highly Cited
2016
Highly Cited
2016
We introduce structured prediction energy networks (SPENs), a flexible framework for structured prediction. A deep architecture… Expand
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Highly Cited
2014
Highly Cited
2014
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this… Expand
Highly Cited
2013
Highly Cited
2013
Traditional approaches to the task of ACE event extraction usually rely on sequential pipelines with multiple stages, which… Expand
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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… Expand
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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… Expand
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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… Expand
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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… Expand
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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… Expand
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Highly Cited
2005
Highly Cited
2005
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification… Expand
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Highly Cited
1994
Highly Cited
1994
Counter to the common belief that expert performance reflects innate abilities and capacities, recent research in different… Expand
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