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… (More)
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Topic mentions per year

Topic mentions per year

2002-2016
02420022016

Papers overview

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2017
2017
In this paper, we propose a multitask active learning (AL) framework for an efficient characterization of buildings using… (More)
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2016
2016
In many practical applications of supervised learning the task involves the prediction of multiple target variables from a common… (More)
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2016
2016
The complex graph structure of the Web – with different relations or edge types – has motivated a large body of research tackling… (More)
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2016
2016
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The task of simultaneously predicting multiple target variables from a common set of input variables is known as multi-target… (More)
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2015
2015
Many real life prediction problems involve predicting a structured output. Multi-target regression is an instance of structured… (More)
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2012
2012
Real world prediction problems often involve the simultaneous prediction of multiple target variables using the same set of… (More)
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2011
2011
Stratified sampling is a sampling method that takes into account the existence of disjoint groups within a population and… (More)
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2011
2011
Traditional classification algorithms consider learning problems that contain only one label, i.e., each example is associated… (More)
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2002
2002
A novel class of applications of predictive clustering trees is addressed, namely ranking. Predictive clustering trees, as… (More)
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2002
2002
A novel class of applications of predictive clustering trees is addressed, namely relational ranking. Predictive clustering trees… (More)
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