Use of One-Point Coverage Representations, Product Space Conditional Event Algebra, and Second-Order Probability Theory for Constructing and Using Probability- Compatible Inference Rules in Data-Fusion Problems
نویسندگان
چکیده
Programmatics This paper documents one aspect of the ongoing FY 01 In-house Laboratory Independent Research Project CRANOF (a ComplexityReducing Algorithm for Near-Optimal Fusion), Project ZU014, with Principal Investigator, Dr. D. Bamber, and co-investigator, Dr. I. R. Goodman (both SSC San Diego), and with associate support from Dr. W. C. Torrez (SSC San Diego) and Prof. H. T. Nguyen (Department of Mathematical Sciences, New Mexico State University and U.S. Navy American Society for Engineering Education Fellow during summers at SSC San Diego). A preliminary version of this paper can be found in [1, section 3.3].
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تاریخ انتشار 2001