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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… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
EU regional policies have essentially influenced regional development across Europe. These policies and the implementation of… 
Review
2011
Review
2011
Objectives. Pharmacy students must acquire skills and attributes including compassion, communication, empathy, health promotion… 
2011
2011
This paper describes our event extraction system that participated in the bacteria biotopes task in BioNLP Shared Task 2011. The… 
2011
2011
Theoretical analysis of structured learning methods has focused primarily on domains where the data consist of independent… 
2010
2010
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models… 
2008
2008
This paper discusses the structured learning based on associative memory of partner robots through interaction with people. Human… 
2007
2007
Educational technology is seen as key for lifelong learning, but it has yet to live up to expectation. We argue that current… 
Highly Cited
2007
Highly Cited
2007
This paper investigates the task of training discriminatively a phrase based SMT system with millions of features using the… 
Highly Cited
2007
Highly Cited
2007
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these… 
1980
1980
The paper is concerned with the use of the computer as a medium for teaching, a tool for learning and a manager of learning. Its…