Discovering and Analyzing Network Function and Structure

Abstract

This award has supported the development of new approaches and algorithms for inference problems on networks. These have been validated by experiments demonstrating their utility in detecting spam web pages. It has also supported the development of faster algorithms for determining which edges are most critical to the structure of a network.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 08, 2015
Accession Number
ADA626928

Entities

People

  • Daniel Spielman

Organizations

  • Yale University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Availability
  • Change Detection
  • Classification
  • Computational Science
  • Computations
  • Contracts
  • Detection
  • Electronic Mail
  • Linear Systems
  • Machine Learning
  • Semi-Supervised Learning
  • Supervised Machine Learning
  • Universities

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Vision.
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms