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02/20/2023
Adaptive Sparse Gaussian Process
Adaptive learning is necessary for non-stationary environments where the...
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09/07/2022
Bayesian learning of feature spaces for multitasks problems
This paper presents a Bayesian framework to construct non-linear, parsim...
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07/19/2022
Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space
Real-world databases are complex, they usually present redundancy and sh...
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01/13/2022
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease
Machine learning techniques typically applied to dementia forecasting la...
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12/22/2021
Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction
Audio or visual data analysis tasks usually have to deal with high-dimen...
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12/22/2021
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection
Multivariate Analysis (MVA) comprises a family of well-known methods for...
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06/05/2020
A conditional one-output likelihood formulation for multitask Gaussian processes
Multitask Gaussian processes (MTGP) are the Gaussian process (GP) framew...
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06/01/2020
Bayesian Sparse Factor Analysis with Kernelized Observations
Latent variable models for multi-view learning attempt to find low-dimen...
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01/24/2020
Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis
The Bayesian approach to feature extraction, known as factor analysis (F...
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05/09/2016
