Parsimonious Downgrading and Decision Trees Applied to the Inference Problem

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.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA465437

Entities

People

  • Ira S. Moskowitz
  • Liwu Chang

Organizations

  • United States Naval Research Laboratory

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  • Energy and Power Technologies
  • Human Systems

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  • Abstracts
  • Bayesian Networks
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  • Computer Science
  • Computers
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  • Computer science

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  • Artificial Intelligence

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms