Kernel methods are a well-established tool to analyze the relationship between input data and the corresponding output of a function. Kernelsâ€¦Â (More)

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2017

2017

- Christian Geiß, Matthias Thoma, Massimiliano Pittore, Marc Wieland, Stefan W. Dech, Hannes Taubenböck
- IEEE Journal of Selected Topics in Applied Earthâ€¦
- 2017

In this paper, we propose a multitask active learning (AL) framework for an efficient characterization of buildings usingâ€¦Â (More)

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2016

2016

- Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, William Groves, Ioannis P. Vlahavas
- Machine Learning
- 2016

In many practical applications of supervised learning the task involves the prediction of multiple target variables from a commonâ€¦Â (More)

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2016

2016

- Lucas Drumond, Ernesto Diaz-Aviles, Lars Schmidt-Thieme
- ArXiv
- 2016

The complex graph structure of the Web â€“ with different relations or edge types â€“ has motivated a large body of research tacklingâ€¦Â (More)

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2016

2016

- 2016

The task of simultaneously predicting multiple target variables from a common set of input variables is known as multi-targetâ€¦Â (More)

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2015

2015

- JoÃ£o Duarte, JoÃ£o Gama
- 2015 IEEE International Conference on Dataâ€¦
- 2015

Many real life prediction problems involve predicting a structured output. Multi-target regression is an instance of structuredâ€¦Â (More)

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2012

2012

Real world prediction problems often involve the simultaneous prediction of multiple target variables using the same set ofâ€¦Â (More)

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2011

2011

- Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
- ECML/PKDD
- 2011

Stratified sampling is a sampling method that takes into account the existence of disjoint groups within a population andâ€¦Â (More)

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2011

2011

- Everton Alvares Cherman, Maria Carolina Monard, Jean Metz
- CLEI Electron. J.
- 2011

Traditional classification algorithms consider learning problems that contain only one label, i.e., each example is associatedâ€¦Â (More)

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2002

2002

- Ljupco Todorovski, Hendrik Blockeel, Saso Dzeroski
- ECML
- 2002

A novel class of applications of predictive clustering trees is addressed, namely ranking. Predictive clustering trees, asâ€¦Â (More)

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2002

2002

A novel class of applications of predictive clustering trees is addressed, namely relational ranking. Predictive clustering treesâ€¦Â (More)

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