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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

gradient boosting

biblio

Visible to the public A Tree-Based Machine Learning Methodology to Automatically Classify Software Vulnerabilities

Submitted by grigby1 on Mon, 04/18/2022 - 2:36pm
  • Manuals
  • Software Vulnerability categorization
  • Software
  • security weaknesses
  • security
  • Resiliency
  • resilience
  • random forests
  • pubcrawl
  • policy-based governance
  • Conferences
  • machine learning
  • Human behavior
  • Hardware
  • gradient boosting
  • Forestry
  • Decision trees
  • Databases
  • Cyber-security
biblio

Visible to the public Exploring linguistic features for extremist texts detection (on the material of Russian-speaking illegal texts)

Submitted by K_Hooper on Wed, 01/10/2018 - 11:14am
  • Scalability
  • psycholinguistic features
  • pubcrawl
  • Random Forest
  • regression analysis
  • Resiliency
  • Russian language
  • Russian legislation
  • Russian-speaking illegal text material
  • psych olinguistic features
  • semantic features
  • Semantics
  • Social network services
  • Support vector machines
  • Terrorism
  • text analysis
  • text classification
  • text detection
  • Human behavior
  • Bayes methods
  • classification methods
  • classification quality
  • Dictionaries
  • differentiating feature
  • extremist texts
  • feature extraction
  • gradient boosting
  • automatic extremist text detection
  • learning (artificial intelligence)
  • linear SVM
  • linguistic features
  • logistic regression
  • multinomial naive Bayes
  • natural language processing
  • pattern classification
  • Pragmatics

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