Year: 2022
Type: preprint
Abstract: We propose to directly compute classification estimates by learning features encoded with their class scores using PCA. Our resulting model has a encoder-decoder structure suitable for supervised learning, it is computationally efficient and performs well for classification on several datasets.
Source: arXiv (Cornell University)
Author: Dahyot, Rozenn
Institution: National University of Ireland, Maynooth
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4307312956