Omnidirectional learning -- A new paradigm for learning to predict any set of variables from any other set

Abstract

This project will investigate and deliver principled methods for learning a single model that can effectively and efficiently predict all unobserved variables from the currently available evidence. This will enable greater value to be extracted from new and existing data assets.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 23, 2016
Source ID
FA23861514017

Entities

People

  • Francois Petitjean

Organizations

  • Air Force Office of Scientific Research
  • Monash University
  • United States Air Force

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Neural Network Machine Learning.