Tensor methods for large-scale learning

Abstract

To explore tensor methods for learning. To develop scalable algorithms that make use of tensor algebra. To analyze performance of algorithms in theory and in practice

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Document Details

Document Type
Technical Report
Publication Date
Jun 25, 2018
Accession Number
AD1066397

Entities

People

  • Anima Anandkumar

Organizations

  • University of California, Irvine

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Autonomous Navigation
  • Decomposition
  • Dynamic Programming
  • Environment
  • Guidance
  • Learning
  • Machine Learning
  • North America
  • Observation
  • Open Source Software
  • Reinforcement Learning
  • Robot Navigation
  • Standards
  • Technology Transfer
  • Unsupervised Machine Learning

Fields of Study

  • Computer science