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Hits 1 – 19 of 19

1	Emoticons Signal Expertise in Technical Web Forums ; Neural Nets and Surroundings
	VOGEL, CARL. - : Springer, 2013
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2	Application of artificial intelligence to the management of urological cancer.
	Abbod, MF; Catto, JW; Linkens, DA...
	In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2007)
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3	Enhancing P3P Framework through Policies and Trust
	Kolari, Pranam; Ding, Li; Kagal, Lalana...
	In: DTIC AND NTIS (2005)
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4	A connectionist expert approach for speech recognition, The Intl
	Halima Bahi; Mokhtar Sellami
	In: http://ccis2k.org/iajit/PDF/vol.2,no.2/8-Halima.pdf (2004)
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5	Fusion of Stochastic and Linguistic Information Using a Conditional Event Framework
	Kelly, Patrick A.; Derin, Haluk; Gong, Wei-Bo
	In: DTIC AND NTIS (2001)
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6	Foundations of neural networks, fuzzy systems, and knowledge engineering
	Kasabov, Nikola K.. - Cambridge, Massachusetts : MIT Press, 1996, [1996]©1996
	MPI für Psycholinguistik
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7	A Table-Based Approach To Expert Fault Diagnosis Networks
	Alan P. Levis; Kristin L. Adair; Susan I. Hruska
	In: http://www.cs.fsu.edu/~adair/smallannie.ps (1996)
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8	Fuzzy MLP based expert system for medical diagnosis, Fuzzy Sets and Systems 65 (2=3
	Sushmita Mitra
	In: http://www.isical.ac.in/~sushmita/paper/fexpsys.pdf (1994)
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9	Neural network learning and expert systems
	Gallant, Stephen I.. - Cambridge, Massachusetts : MIT Press, 1993, [1993]©1993
	MPI für Psycholinguistik
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10	Proceedings of the Seventh International Symposium on Methodologies for Intelligent Systems (Poster Session)
	Harber, K.S. (ed.)
	In: 7. international symposium on methodologies for intelligent systems, Trondheim (Norway), 15-18 Jun 1993 (1993)
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11	Proceedings of the Seventh International Symposium on Methodologies for Intelligent Systems (Poster Session)
	Harber, K. S.
	In: 7. international symposium on methodologies for intelligent systems,Trondheim (Norway),15-18 Jun 1993 (1993)
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12	Toward a Fuzzy Theory of Performance Measurement
	Mahan, Robert P.
	In: DTIC AND NTIS (1992)
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13	Program 6 Technical Interchange Meeting Proceedings
	Gadz, Walter; McCabe, Patrick
	In: DTIC AND NTIS (1992)
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14	Analogical Explanations
	Mittal, Vibhu O.; Paris, Cecile L.
	In: DTIC AND NTIS (1990)
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15	A Model for Integrating a Job-Aiding, Training, and Performance Assessment System--a Preliminary Concept Paper.
	Kline, Charles R , Jr; Lester, Mark
	In: DTIC AND NTIS (1988)
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16	Applicability of Artificial Intelligence to the Global Decision Support System
	Blanchet, Richard J.
	In: DTIC AND NTIS (1987)
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17	Parallel Mechanisms of Sentence Processing: Assigning Roles to Constituents of Sentences.
	McClelland,James L; Kawamoto,Alan H
	In: DTIC AND NTIS (1986)
	Abstract: How do we assign nouns correctly to their underlying case roles in English, and how do we select an appropriate verb frame to assign these nouns to? How do we know whether a noun phrase is a modifier of a preceding noun phrase or an argument of the verb? How do we select the correct meaning of each noun in the sentence, and how do we allow content to modulate its meaning? How do we know how to handle these new nouns and verbs? In this article we describe a simulation model that addresses these questions from a perspective quite different from the conventional perspective found in Computational Linguistics. Words are treated as patterns of activation, and knowledge about them is stored in distributed form, in the connections in a large network of simple neutron-like processing units. The model exhibits considerable facility in dealing with the problems of frame selection, role assignment, disambiguation, etc, and suggests a natural way to resolve unappealing aspects of the idea that there is a fixed set of individuated case roles. So far, our simulation model can only process one clause sentences. Possible extensions to multi-clause sentences are described.
	Keyword: CONTEXT SENSITIVE GRAMMARS; Knowledge based; Knowledge engineering; LEARNING MACHINES; NEURAL NETS; PARALLEL ORIENTATION; SEMANTICS; WORDS(LANGUAGE); ACTIVATION; Expert systems; GRAMMARS; INFORMATION PROCESSING; LEARNING CURVES; LEXICOGRAPHY; Linguistics; NETWORKS; PARSERS; PE61153N; SIMULATION; WUNR667483
	URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA168571 http://www.dtic.mil/docs/citations/ADA168571
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18	What's Important about Knowledge Representation.
	Woods,W A
	In: DTIC AND NTIS (1983)
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19	ARTIFICIAL INTELLIGENCE IN WELDING PROCESSES
	Luigi Mistodie; Nicolae Joni
	In: http://www.rs.ugal.ro/annalsabstracts/annals2009_a19.pdf
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