Noise-Tolerant Conceptual Clustering

Fisher, Douglas H.

Noise-Tolerant Conceptual Clustering

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Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Machine Learning. Pages 825-829.

Abstract

Fisher (1987a,b) introduced a performance task for conceptual clustering: flexible prediction of arbitrary attribute values, not simply the prediction of a single 'class' attribute . This paper extends earlier analysis by conside ring the effects of noise and other environmental factors . The degradation in flexible prediction accuracy that results from noise is mitigated by 'preferred' prediction points for individual attributes. Methods that identify these prediction points are inspired by pruning in learning from examples. We extend these noisetolerant techniques to untutored learning. In addition , prediction point preferences shed light on relationships between conceptual clustering, case-based, and default reasonmg.

Douglas H. Fisher. 1989. Noise-Tolerant Conceptual Clustering. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89. IJCAI, 825–829. https://ijcai.org/proceedings/1989/132

@inproceedings{ijcai1989p132,
  title     = {Noise-Tolerant Conceptual Clustering},
  author    = {Fisher, Douglas H.},
  booktitle = {Proceedings of the Eleventh International Joint Conference on
               Artificial Intelligence, {IJCAI-89}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {N. S. Sridharan},
  pages     = {825--829},
  year      = {1989},
  month     = {8},
  note      = {Machine Learning},
  url       = {https://ijcai.org/proceedings/1989/132},
}

TY  - CPAPER
TI  - Noise-Tolerant Conceptual Clustering
AU  - Fisher, Douglas H.
T2  - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1989
SP  - 825
EP  - 829
UR  - https://ijcai.org/proceedings/1989/132
ER  -