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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

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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
In high-dimensional data, structured noise caused by observed and unobserved factors affecting multiple target variables… Expand
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2015
2015
  • J. Duarte, João Gama
  • IEEE International Conference on Data Science and…
  • 2015
  • Corpus ID: 18262582
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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Highly Cited
2012
Highly Cited
2012
Real world prediction problems often involve the simultaneous prediction of multiple target variables using the same set of… Expand
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Highly Cited
2011
Highly Cited
2011
Traditional classication algorithms consider learning problems that contain only one label, i.e., each example is associated with… 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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2008
2008
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting… 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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