Music Genre Recommendation Based on MLP & Random Forest-Reference-Cited by-同舟云学术

Music Genre Recommendation Based on MLP & Random Forest

Published:2022-09-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)
language:
Short-container-title:

Author:

Fan Shenyou¹,Fu Min²

Affiliation:

1. Sichuan University,Chengdu,China

2. Macquarie University,Department of Computing,Sydney,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9927385/9927503/09927567.pdf?arnumber=9927567

Reference11 articles.

1. An assessment of the effectiveness of a random forest classifier for land-cover classification

2. Random forests;leo;Machine Learning,2001

3. Domain described support vector classifier for multi-classification problems;daewon;Pattern Recognition,2007

4. The multilayer perceptron as an approximation to a Bayes optimal discriminant function;suter;IEEE Transactions on Neural Networks,1990

5. Multiclass from binary: Expanding one-versus-all, one-versus-one and eco-based approaches;anderson;IEEE Transactions on Neural Networks and Learning Systems,2013

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Solar Power Production Forecasting Model Using Random Forest Algorithm;Lecture Notes in Networks and Systems;2024

2. Improved Recommender System for Kid's Hobby Prediction using different Machine Learning Techniques;2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT);2023-02-22

3. An Overview of Different Types of Recommendations Systems - A Survey;2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT);2023-02-11