Search (9 results, page 1 of 1)

  • × theme_ss:"Case Based Reasoning"
  • × year_i:[1990 TO 2000}
  1. Chen, Z.: ¬A conceptual model for storage and retrieval of short scientific texts (1993) 0.01
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    Source
    Information processing and management. 29(1993) no.2, S.209-214
  2. Mataras, R.L.D.; Plaza, E.: Case-based reasoning : an overview (1997) 0.00
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    Source
    AI communications. 10(1997) no.1, S.21-29
  3. Mahapatra, R.; Sen, A.: Case base management systems : providing database support to case-based reasoners (1994) 0.00
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    Source
    Journal of database management. 5(1994) no.2, S.19-29
  4. Golding, A.R.; Rosenbloom, P.S.: Improving accuracy by combining rule-based and case-based reasoning (1996) 0.00
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    Date
    6. 3.1997 16:22:15
  5. Ram, A.; Santamaria, J.C.: Continuous case-based reasoning (1997) 0.00
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    Date
    6. 3.1997 16:22:15
  6. Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997) 0.00
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    Date
    6. 3.1997 16:22:15
  7. Rissland, E.L.; Daniels, J.J.: ¬The synergistic application of CBR to IR (1996) 0.00
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    Abstract
    Discusses a hybrid approach combining case-based reasoning and information retrieval for the retrieval of full text documents. It takes as input a standard symbolic representation of a problem case and retrieves text of relevant cases from a document collection dramatically larger than the case base available to the CBR system. It works by performing a standard HYPO style analysis and uses the texts associated with important classes of cases found in this analysis to seed a modified version of INQUERY's relevance feedback mechanism in order to generate a query composed of individual terms or pairs of terms. It exteds the reach of CBR to much larger corpora, and it anbales the injection of knowledge based techniques into traditional IR. Describes the CBR-IR approach and reports on-going experiments
    Footnote
    Contribution to a special issue on the application of artificial intelligence to information retrieval
  8. Althoff, K.-D.; Wess, S.; Manago, M.; Bergmann, R.; Maurer, F.; Auriol, E.; Conruyt, N.; Traphöner, R.; Bräuer, M.; Dittrich, S.: Induction and case-based reasoning for classification tasks (1994) 0.00
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    Source
    Information systems and data analysis: prospects - foundations - applications. Proc. of the 17th Annual Conference of the Gesellschaft für Klassifikation, Kaiserslautern, March 3-5, 1993. Ed.: H.-H. Bock et al
  9. Analogie in der Wissensrepräsentation: Case-Based Reasoning und räumliche Modelle : 4. Tagung der deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Trier, 17.-20. Oktober 1995 (1996) 0.00
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    Abstract
    Enthält die Beiträge: CZAP, H.: Einführung in die Wissensorganisation und Case-Based Reasoning (CBR); ALTHOFF, K.-D., R. TRAPHÖNER u. S. WESS: Efficient integration on induction and Case-Base Reasoning: the INRECA System; SCHIEMANN, I. u. A. WOLTERING: Fallspeicherorganisation in der CBR-Shell Janus; COULON, C.-H.: Die Rolle des Anpassungswissens im CBR (Am Beispiel der Ausnutzung von Struktur im CBR); SCHAAF, J.W.: Fischen und Versenken: ein anytime-Algorithmus zur Suche nach situationsgerechten Fällen; JAENECKE, P.: Erkenntnistheoretische Untersuchungen über fallbezogenes Schlußfolgern; LÖCKENHOFF, H.: Cabse-Based Teaching/Learning for issue orientation and control; BIES, W.: 'Denken in Bildern': zu den Metaphern der Wissensorganisation; PRIBBENOW, S.: Räumliches Wissen: zur Interaktion von Logik und Bildern; STOLLE, M. u. V. KIRCHBERG: Mental maps in der Stadtforschung: Grundlage und Perspektiven; BAYER, H. u. R. BAUEREISS: Der Familienatlas als sozialräumliche Information; HARDT, F., G. TASSOUKIS u. H.P. OHLY: Räumliche Hintergrundinformation in bibliographischen Datenbanken; SALENTIN, K.: Geodemographische Ansätze beim Sampling im Direktmarketingverfahren; PIERAU, K., G. NARWELEIT u. H. THÜMMLER: Entwicklung eines Geographisch-Historischen Informationssystems; LENSKI, W. u. E. WETTE-ROCH: Terminologie und Wissensrepräsentation in pragmatischer Sichtweise; FUGMANN, R.: Die Entlineaririserung und Strukturierung von Texten zur Inhaltserschließung und Wissensrepräsentation; LORENZ, B.: Überlegungen zur Verbundklassifikation; NACKE, O.: Ein einfaches Verfahren zur Analyse großer Wissensmengen; BOL, G., E. HOTZ u. T. STÜTZLE: Neuronale Netze zur Klassifikation von Fehlrern in der statistischen Prozeßregulierung