Effective supra-classifiers for knowledge base construction

Pattern Recognition Letters

Volumn 20, Issue 11-13, 1999, Pages 1347-1352

  Bollacker, Kurt D ^a   Ghosh, Joydeep ^a  

^a The University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE RECONSTRUCTION; KNOWLEDGE BASED SYSTEMS; PROBABILITY;

HAMMING NEAREST NEIGHBOR SUPRA-CLASSIFIERS;

PATTERN MATCHING;

EID: 0033220769     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(99)00104-X     Document Type: Article

References (7)

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2. Bollacker, K.D., 1998. The supra-classifier framework for knowledge reuse. Ph.D. thesis, The University of Texas at Austin, Austin, TX.
3. Bollacker, K.D., Ghosh, J., 1997. Knowledge reuse in multiple classifier systems. Pattern Recognition Letters 18 (11-13), 1385-1390.
4. Bollacker, K.D., Ghosh, J., 1998. A supra-classifier architecture for scalable knowledge reuse. In: The Internat. Conf. on Machine Learning, pp. 64-72.
5. Hofri, M., 1995. Analysis of Algorithms. Oxford University Press, New York.
6. Jimenez, L.O., Landgrebe, D.A., 1998. Supervised classification in high-dimensional space: Geometric, statistical and asymptotical properties of multivariate data. IEEE Trans. Systems Man and Cybernetics, Part C: Applications and Reviews 28, 39-54.
7. Menczer, F., 1997. ARACHNID: Adaptive retrieval agents choosing heuristic neighborhoods for information discovery. In: Proc. 14th Internat. Conf. Machine Learning, pp. 227-235.