Accession Number:

ADA465437

Title:

Parsimonious Downgrading and Decision Trees Applied to the Inference Problem

Descriptive Note:

Conference paper

Corporate Author:

NAVAL RESEARCH LAB WASHINGTON DC CENTER FOR HIGH ASSURANCE COMPUTING SYSTEMS (CHACS)

Personal Author(s):

Report Date:

1998-01-01

Pagination or Media Count:

9.0

Abstract:

In this paper we present our new paradigm for dealing with the inference problem which arises from downgrading. Our new paradigm has two main parts the application of decision tree analysis to the inference problem, and the concept of parsimonious downgrading. We also include a new thermodynamically motivated way of dealing with the deduction of inference rules from partial data.

Subject Categories:

  • Information Science
  • Cybernetics
  • Operations Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE