Budgeted Interactive Learning

Abstract

The goal of this project is to make machine learning more realistic by studying the challenges along two major directions together: interactive machine learning, in which humans can communicate with the machines in heterogeneous protocols more naturally, and budgeted machine learning, in which humans express the physical constraints (such as the allowed consumption of resources) to the machines more easily.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 23, 2016
Source ID
FA23861514012

Entities

People

  • Hsuan-Tien Lin

Organizations

  • Air Force Office of Scientific Research
  • National Taiwan University
  • United States Air Force

Tags

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks