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07/04/2023
Scalable variable selection for two-view learning tasks with projection operators
In this paper we propose a novel variable selection method for two-view ...
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08/27/2021
Learning primal-dual sparse kernel machines
Traditionally, kernel methods rely on the representer theorem which stat...
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07/29/2020
Learning Output Embeddings in Structured Prediction
A powerful and flexible approach to structured prediction consists in em...
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05/04/2020
A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction
This paper proposes a novel method for learning highly nonlinear, multiv...
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04/18/2018
Bayesian Metabolic Flux Analysis reveals intracellular flux couplings
Metabolic flux balance analyses are a standard tool in analysing metabol...
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11/07/2017
A Tutorial on Canonical Correlation Methods
Canonical correlation analysis is a family of multivariate statistical m...
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02/08/2016
Multi-view Kernel Completion
In this paper, we introduce the first method that (1) can complete kerne...
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08/18/2015