Boosting the Discriminant Power of Naive Bayes
Author:
Affiliation:
1. University of Nottingham,School of Computer Science,Ningbo,China
2. Ningbo Beilun Taihe High School
3. Nanyang Technological University,School of Electrical and Electronic Engineering
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956358.pdf?arnumber=9956358
Reference35 articles.
1. Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
2. A Deep Learning Method With Filter Based Feature Engineering for Wireless Intrusion Detection System
3. NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion
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