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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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Related topics

Related topics

11 relations
Bayesian interpretation of kernel regularizationCross-validation (statistics)Gaussian processGraph kernel
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Pointwise Partial Information Decomposition Using the Specificity and Ambiguity Lattices
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
Multitask Active Learning for Characterization of Built Environments With Multisensor Earth Observation Data
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
Multi-target regression via input space expansion: treating targets as inputs
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
Multi-Relational Learning at Scale with ADMM
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
Multi-target regression from high-speed data streams with adaptive model rules
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 with single- and multi-target trees and ensembles
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
Multi-Label Classification Methods for Multi-Target Regression
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
The Emotional Machine: A Machine Learning Approach to Online Prediction of User's Emotion and Intensity
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
Ranking with Predictive Clustering Trees
A novel class of applications of predictive clustering trees is addressed, namely ranking. Predictive clustering trees, as… Expand
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2002
2002
Relational ranking with predictive clustering trees
A novel class of applications of predictive clustering trees is addressed, namely relational ranking. Predictive clustering trees… Expand
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