Christopher Landauer, Clinton P. Mah, "Message Extraction Through Estimation of Relevance", Proceedings of the Joint ACM and BCS Symposium on Research and Development in Information Retrieval, (Third International A CM SIGIR Conference), Cambridge University, June 1980. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Models and Representations in Conceptual Categories - Landauer, Bellman Self-citation (Landauer) (Correct)
....of our knowledge models. 7 ARGUS EXAMPLE We have used a model based approach in general, and various of the mechanisms we described above in particular, in designing systems for diverse applications, such as communi cation protocol simulation [24] 25] associative information retrieval [39], situation assessment for current events analy sis, and systems for space surveillance, tracking, and battle management using hordes of very sraM1 satellites. We believe that the design process in each case was greatly simplified by the use of our methods, since it allowed us to concentrate on ....
Christopher Landauer, Clinton P. Mah, "Message Extraction Through Estimation of Relevance", Proceedings of the Joint ACM and BCS Symposium on Research and Development in Information Retrieval, (Third International A CM SIGIR Conference), Cambridge University, June 1980.
Agent-Based Information Infrastructure - Landauer, Bellman (1999) (1 citation) Self-citation (Landauer) (Correct)
....constructed. Information is context, available data, or available services. The wrapping may mention these either as requirements or as products. We use a variant of the Cocke Kasami Younger parsing algorithm [3] as modified by V. Pratt for LINGOL [69] and extended by C. Landauer for METER [38] [55] to use Early algorithm type pre filtering of the WKB entries as rules (see [27] for a description and complexity analysis of a similar combination parser, 35] for a general description of this style of parser, called a chart parser) This 9 parser matches both goals and available information ....
Christopher Landauer, Clinton Mah, "Message Extraction Through Estimation of Relevance", Chapter 8, in [66]
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