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Kernel methods for vector output

Kernel methods are a well-established tool to analyze the relationship between input data and the corresponding output of a function. Kernels… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
What are the distinct ways in which a set of predictor variables can provide information about a target variable? When does a… Expand
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2017
2017
In this paper, we propose a multitask active learning (AL) framework for an efficient characterization of buildings using… Expand
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Highly Cited
2016
Highly Cited
2016
In many practical applications of supervised learning the task involves the prediction of multiple target variables from a common… Expand
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2016
2016
Learning from multiple-relational data which contains noise, ambiguities, or duplicate entities is essential to a wide range of… Expand
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2015
2015
Many real life prediction problems involve predicting a structured output. Multi-target regression is an instance of structured… Expand
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2013
2013
Habitat modeling studies the influence of abiotic factors on the abundance of a given taxonomic group of organisms. In this work… Expand
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2012
2012
Real world prediction problems often involve the simultaneous prediction of multiple target variables using the same set of… Expand
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2010
2010
This paper explores the feasibility of equipping computers with the ability to predict, in a context of a human computer… Expand
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2002
2002
A novel class of applications of predictive clustering trees is addressed, namely ranking. Predictive clustering trees, as… Expand
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2002
2002
A novel class of applications of predictive clustering trees is addressed, namely relational ranking. Predictive clustering trees… Expand
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