Multi-View Relationships for Analytics and Inference

Abstract

An interesting area of machine learning is methods for multi-view data, relational data whose features have been partitioned. Multi-view learning exploits relationships between views, giving it certain advantages over traditional single-view techniques, which may struggle to find these relationships or only learn them implicitly. These relationships are often especially salient in understanding the data or performing prediction.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2019
Accession Number
AD1168006

Entities

People

  • Eric Lei

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Automata Theory
  • Bayesian Networks
  • Cardiovascular Physiological Phenomena
  • Change Detection
  • Computational Science
  • Data Mining
  • Data Science
  • Detectors
  • Information Processing
  • Information Science
  • Information Systems
  • Kalman Filters
  • Machine Learning
  • Mathematical Filters
  • Network Science
  • Neural Networks
  • Statistical Algorithms
  • Supervised Machine Learning
  • Surveys

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks