Stochastic Learning Dynamics and Non-Linear Dimension Reduction.

Abstract

This reports cover research activity under the grant in place from April 1993 through March 1994. Our research addressed algorithms and theory for stochastic learning, non-linear extensions of principal component analysis (PCA) for dimension-reduction, network pruning and methods to incorporate desired invariances into learning. (AN)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 31, 1994
Accession Number
ADA292818

Entities

People

  • Todd K. Leen

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Classification
  • Computer Science
  • Dimensionality Reduction
  • Eigenvalues
  • Equations
  • Factor Analysis
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Network Science
  • Neural Networks
  • Pattern Recognition
  • Probability
  • Recognition

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Defense Acquisition Program Management
  • Neural Network Machine Learning.