Intelligent Learning

Abstract

To investigate and formalize a new machine learning approach that delivers measurable improvements in time-to-learn and the number of learning examples required by a scalable approach. For example, a classical learning approach could require 100,000 learning examples in contrast to a new approach that requires only 300 learning examples.

Document Details

• Document Type: DoD Grant Award
• Publication Date: Mar 23, 2016
• Source ID: FA95501510502

Entities

People

• Vladimir Vapnik

Organizations

• Air Force Office of Scientific Research
• Trustees of Columbia University in the City of New York
• United States Air Force

Tags

Fields of Study

• Computer science

Readers

• Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
• Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
• Theoretical Analysis.

Technology Areas

• AI & ML
• AI & ML - Neural Networks