Learning Rates of Multioutput Regression With Kernel Methods and ℓp‐Regularization
Sign Up to like & getrecommendations! Published in 2025 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.11217
Abstract: Multioutput learning aims at learning multiple outputs simultaneously from a given input. It has been extensively studied in the literature on machine learning. Among them, how to estimate learning rates for various learning problems remains… read more here.
Keywords: rates multioutput; multioutput regression; learning rates; regression kernel ... See more keywords
Structure-Exploiting Discriminative Ordinal Multioutput Regression
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.2978508
Abstract: Although the least-squares regression (LSR) has achieved great success in regression tasks, its discriminating ability is limited since the margins between classes are not specially preserved. To mitigate this issue, dragging techniques have been introduced… read more here.
Keywords: regression; structure exploiting; exploiting discriminative; structure ... See more keywords