The Chain-Rule Processor: Optimal Classification Through Signal Processing

Abstract

The chain-rule processor is a method of constructing an optimal Bayes classifier from a bank of processors. Each processor is a feature extractor designed to separate the given class from a class-dependent reference hypothesis, thereby avoiding the curse of dimensionality. This work builds upon prior work in optimal classifier design using class-specific features. The chain-rule processor is an improvement that recursively applies the PDF projection theorem.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2002
Accession Number
ADA477235

Entities

People

  • Paul Baggenstoss

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Classification
  • Coefficients
  • Data Science
  • Databases
  • Hypotheses
  • Information Operations
  • Information Science
  • Machine Learning
  • Military Research
  • Probability
  • Probability Density Functions
  • Signal Processing
  • Time Series Analysis
  • Training
  • Undersea Warfare

Readers

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