An evaluation method for the prediction effect of classification models based on deep learning-Reference-Cited by-同舟云学术

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An evaluation method for the prediction effect of classification models based on deep learning

Published:2023-10-27 Issue: Volume: Page:926-930
ISSN:
Container-title:2023 4th International Conference on Machine Learning and Computer Application
language:
Short-container-title:

Author:

Zhang Tao¹^ORCID,Xu Yifei¹^ORCID,Tan Ling¹^ORCID,Li Faling¹^ORCID,Song Miao¹^ORCID,Zhu Shiyu²^ORCID

Affiliation:

1. College of Computer and Internet of Things, Chongqing Institute of Engineering, China

2. College of Computer and Information Science, Southwest University, China and College of Computer and Internet of Things, Chongqing Institute of Engineering, China

Funder

Natural Science Foundation of Chongqing Municipality

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3650215.3650379

Reference18 articles.

1. A hybrid SEM algorithm for high-dimensional unsupervised learning using a finite generalized Dirichlet mixture

2. Fong A R R. An Evaluation of Patient Safety Event Report Categories Using Unsupervised Topic Modeling [J]. Methods of information in medicine, 2015, 54(4).

3. Uzma, Al-Obeidat F, Tubaishat A, Gene encoder: a feature selection technique through unsupervised deep learning-based clustering for large gene expression data [J]. Neural computing & applications, 2022, (11):34.

4. When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections

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