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A Syntactic Approach to Foundational Proof-Carrying Code
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In: DTIC AND NTIS (2002)
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Performance Characteristics of Planning Actors
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In: DTIC (2002)
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An Unsupervised Approach to Recognizing Discourse Relations
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In: DTIC (2002)
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A New Method for Representing Linguistic Quantifications by Random Sets with Applications to Tracking and Data Fusion
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In: DTIC (2002)
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Abstract:
There is an obvious need to be able to integrate both linguistic-based and stochastic-based input information in data fusion. In particular, this need is critical in addressing problems of track association, including cyber-state intrusions. This paper treats this issue through a new insight into how three apparently distinct mathematical tools can be combined: "boolean relational event algebra" (BREA), "one point random set coverage representations of fuzzy sets" (OPRSC), and "complexity-reducing algorithm for near optimal fusion" (CRANOF). ; Presented at Proceedings of the International Conference on Information Fusion (FUSION 2002) (5th) held in Annapolis, MD on Jul 8-11, 2002. Pub. in Proceedings of the International Conference on Information Fusion (FUSION 2002) (5th), v1 p1308-1315, Jul 2002. Prepared in collaboration with Naval War College, Newport, Rhode Island and New Mexico State Univ., Dept of Mathematical Sciences, Las Cruces, New Mexico.
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Keyword:
*MATHEMATICAL MODELS; ALGEBRA; DATA FUSION; FUZZY LOGIC; Operations Research; PE0601152N; PROBABILITY; REASONING; STATISTICAL FUNCTIONS; SYMPOSIA; TRACKING
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URL: http://www.dtic.mil/docs/citations/ADA506905 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA506905
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Sketching for Knowledge Capture: A Progress Report
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In: DTIC (2002)
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A Language Use Perspective on the Design of Human-Computer Interaction
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In: DTIC (2002)
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Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society
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In: DTIC AND NTIS (2002)
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When Everything is Intelligence - Nothing is Intelligence
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In: DTIC (2002)
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A Native Intelligence Metric for Artificial Systems
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In: DTIC (2002)
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