High-dimensional learning under approximate sparsity with applications to nonsmooth estimation and regularized neural networks
Hongcheng Liu, Yinyu Ye, Hung Yi Lee
| Year of publication: |
2022
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|---|---|
| Authors: | Liu, Hongcheng ; Ye, Yinyu ; Lee, Hung Yi |
| Published in: |
Operations research. - Linthicum, Md. : INFORMS, ISSN 1526-5463, ZDB-ID 2019440-7. - Vol. 70.2022, 6, p. 3176-3197
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| Subject: | folded concave penalty | high-dimensional learning | Machine Learning and Data Science | neural network | nonsmooth learning | restricted strong convexity | sparsity | support vector machine | Neuronale Netze | Neural networks | Künstliche Intelligenz | Artificial intelligence | Lernprozess | Learning process | Mustererkennung | Pattern recognition | Prognoseverfahren | Forecasting model | Lernen | Learning | Schätztheorie | Estimation theory | Algorithmus | Algorithm |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/opre.2021.2217 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014307657