FastEmbed: Predicting vulnerability exploitation possibility based on ensemble machine learning algorithm

标题
FastEmbed: Predicting vulnerability exploitation possibility based on ensemble machine learning algorithm
作者
关键词
Vendors, Forecasting, Semantics, Word embedding, Machine learning, Machine learning algorithms, Artificial intelligence, Neural networks
出版物
PLoS One
Volume 15, Issue 2, Pages e0228439
出版商
Public Library of Science (PLoS)
发表日期
2020-02-07
DOI
10.1371/journal.pone.0228439

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