Exploration of machine algorithms based on deep learning model and feature extraction
The study expects to solve the problems of insufficient labeling, high input dimension, and inconsistent task input distribution in traditional lifelong machine learning. A new deep learning model is proposed by combining feature representation with a deep learning algorithm. First, based on the the...
Saved in:
Main Author: | Yufeng Qian |
---|---|
Format: | article |
Language: | EN |
Published: |
AIMS Press
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/bd7b01391f984eda8f52fa79835a1a53 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep learning and radiomics analysis for prediction of placenta invasion based on T2WI
by: Qian ShaoYutao Wang, et al.
Published: (2021) -
A hybrid deep learning model for breast cancer diagnosis based on transfer learning and pulse-coupled neural networks
by: Meteb M. Altaf
Published: (2021) -
The world of ribonucleases from pseudomonads: a short trip through the main features and singularities
by: Patrícia Apura, et al.
Published: (2021) -
Machine learning approaches to predict the Plant-associated phenotype of Xanthomonas strains
by: Dennie te Molder, et al.
Published: (2021) -
TYLER, a fast method that accurately predicts cyclin-dependent proteins by using computation-based motifs and sequence-derived features
by: Jian Zhang, et al.
Published: (2021)