메뉴 건너뛰기




Volumn 1263, Issue , 1997, Pages 254-264

A connectionist approach to structural similarity determination as a basis of clustering, classification and feature detection

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; MACHINE LEARNING; PATTERN RECOGNITION;

EID: 21744447818     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63223-9_124     Document Type: Conference Paper
Times cited : (5)

References (42)
  • 4
    • 0000043736 scopus 로고
    • Substructure Searching Methods: Old and new
    • J.M. Barnard. Substructure Searching Methods: Old and new. J. Chem. Inf. Comp. Sci., 33:532-538, 1993.
    • (1993) J. Chem. Inf. Comp. Sci , vol.33 , pp. 532-538
    • Barnard, J.M.1
  • 7
    • 0026852344 scopus 로고
    • Neural networks and operations research: An overview
    • L.I. Burke and J.P. Ignizio. Neural networks and operations research: An overview. Computers Ops.Res., 19(3/4):179-189, 1992.
    • (1992) Computers Ops.Res , vol.19 , Issue.3-4 , pp. 179-189
    • Burke, L.I.1    Ignizio, J.P.2
  • 8
  • 9
    • 0027652468 scopus 로고
    • Substructure Dcovery Using Minimum Description Length and Background Knowledge
    • D.J. Cook and L.B. Holder. Substructure Dcovery Using Minimum Description Length and Background Knowledge. Journal of Artificial Intelligence Research, 1:231-255, 1994.
    • (1994) Journal of Artificial Intelligence Research , vol.1 , pp. 231-255
    • Cook, D.J.1    Holder, L.B.2
  • 13
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • D. H. Fisher. Knowledge acquisition via incremental conceptual clustering. Machine Learning, 2(2):139-172, 1987.
    • (1987) Machine Learning , vol.2 , Issue.2 , pp. 139-172
    • Fisher, D.H.1
  • 15
    • 84947802137 scopus 로고    scopus 로고
    • Begriffslernen fur strukturierte Objekte (Concept Learning for Relational Structures)
    • Dortmund, Germany
    • P. Geibel, K. Schadler, and F. Wysotzki. Begriffslernen fur strukturierte Objekte (Concept Learning for Relational Structures). In Proceedings of FGML-95, Dortmund, Germany, 1995.
    • Proceedings of FGML-95 , pp. 1995
    • Geibel, P.1    Schadler, K.2    Wysotzki, F.3
  • 16
    • 0013109084 scopus 로고    scopus 로고
    • Learning relational concepts with decision trees
    • In L. Saitta, editor, Morgan Kaufmann Publishers, San Fransisco, CA
    • P. Geibel and F. Wysotzki. Learning relational concepts with decision trees. In L. Saitta, editor, Machine Learning: Proceedings of the 13th International Conference, pages 166-174. Morgan Kaufmann Publishers, San Fransisco, CA, 1996.
    • (1996) Machine Learning: Proceedings of the 13Th International Conference , pp. 166-174
    • Geibel, P.1    Wysotzki, F.2
  • 19
    • 0021835689 scopus 로고
    • Neural computations of decisions in optimization problems
    • J. Hopfield and D. Tank. Neural computations of decisions in optimization problems. Biological Cybernetics, 52:141-152, 1986.
    • (1986) Biological Cybernetics , vol.52 , pp. 141-152
    • Hopfield, J.1    Tank, D.2
  • 20
    • 0004469897 scopus 로고
    • Neurons with graded response have collective computational properties like those of two-state neurons
    • J.J. Hopfield. Neurons with graded response have collective computational properties like those of two-state neurons. In Proceedings of the National Academy of Sciences USA 81, pages 3088-3092. 1984.
    • (1984) Proceedings of the National Academy of Sciences USA 81 , pp. 3088-3092
    • Hopfield, J.J.1
  • 25
    • 34250467853 scopus 로고
    • Ein Verfahren zur FeststeUung der Isomorphic von endlichen, zusam-menhangenden Graphen
    • W. Knodel. Ein Verfahren zur FeststeUung der Isomorphic von endlichen, zusam-menhangenden Graphen. Computing, 8, 1971.
    • (1971) Computing , pp. 8
    • Knodel, W.1
  • 28
    • 0026852716 scopus 로고
    • Neural network methods in combinatorial optimization
    • C. Looi. Neural network methods in combinatorial optimization. Computers and Operations Research, 19(3/4):191-208, 1992.
    • (1992) Computers and Operations Research , vol.19 , Issue.3-4 , pp. 191-208
    • Looi, C.1
  • 33
    • 84947785674 scopus 로고    scopus 로고
    • Klassifizierungslernen mit Hilfe spezieller Hopfield-Netze
    • In Werner Dilger, Michael Schlosser, Jens Zeidler, and Andreas Ittner, editors, number CSR-96-06 in Chemnitzer Informatik-Berichte, TU Chemnitz-Zwickau, August
    • K. Schadler and F. Wysotzki. Klassifizierungslernen mit Hilfe spezieller Hopfield-Netze. In Werner Dilger, Michael Schlosser, Jens Zeidler, and Andreas Ittner, editors, Beitrage zum 9.Fachgruppentreffen "Maschinelles Lernen" der GI-Fachgruppe 1.1.3., number CSR-96-06 in Chemnitzer Informatik-Berichte, pages 96-100. TU Chemnitz-Zwickau, August 1996.
    • (1996) Beitrage Zum 9.Fachgruppentreffen "Maschinelles Lernen" Der Gi-Fachgruppe 1.1.3 , pp. 96-100
    • Schadler, K.1    Wysotzki, F.2
  • 36
    • 84947768858 scopus 로고
    • Anwendung des Konzepts der Strukturellen ahnlichkeit zum Fallvergleich mittels Term-und Graph-Reprasentationen
    • HTWK Leipzig, FB Informatik, Mathematik und Naturwissenschaften, August
    • E. Tammer, K. Steinhofel, S. Schonherr, and D. Matuschek. Anwendung des Konzepts der Strukturellen ahnlichkeit zum Fallvergleich mittels Term-und Graph-Reprasentationen. Technical Report FABEL-Report No.38, HTWK Leipzig, FB Informatik, Mathematik und Naturwissenschaften, August 1995.
    • (1995) Technical Report Fabel-Report , vol.38
    • Tammer, E.1    Steinhofel, K.2    Schonherr, S.3    Matuschek, D.4
  • 39
    • 0344075541 scopus 로고
    • chapter 11: Deterministic Neural Networks for Combinatorial Optimization, Ablex Publishing Corporation, Norwood, New Jersey
    • J. Wang. Progress in Neural Networks, volume 3, chapter 11: Deterministic Neural Networks for Combinatorial Optimization, pages 319-340. Ablex Publishing Corporation, Norwood, New Jersey, 1995.
    • (1995) Progress in Neural Networks , vol.3 , pp. 319-340
    • Wang, J.1
  • 40
    • 84948966662 scopus 로고
    • Prototype, nearest neighbor and hybrid algorithms for time series classification
    • N. Lavrac and S.Wrobel, editors, number 912 in LNAI, Springer
    • Ch. Wisozki and F. Wysotzki. Prototype, nearest neighbor and hybrid algorithms for time series classification. In N. Lavrac and S.Wrobel, editors, Machine Learning: ECML-95, number 912 in LNAI, pages 364-367. Springer, 1995.
    • (1995) Machine Learning: ECML-95 , pp. 364-367
    • Wisozki, C.H.1    Wysotzki, F.2
  • 41
    • 84945028410 scopus 로고
    • Artificial Intelligence and Artificial Neural Nets
    • September, TU Berlin / Jiao Tong University Shanghai
    • F. Wysotzki. Artificial Intelligence and Artificial Neural Nets. In Proc. 1st Workshop on AI, Shanghai, September 1990. TU Berlin / Jiao Tong University Shanghai.
    • (1990) Proc. 1St Workshop on AI, Shanghai
    • Wysotzki, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.