An Appraisal of a Decision Tree Approach to Image Classification
Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Learning and Knowledge Acquisition. Pages 473-474.
Abstract
This paper investigates the applicability to a shape-recognition problem of a concept learning algorithm which generates decis i on rules from examples. A comprehensive analysis of this a l gorithm applied to an industrial vision problem is described . This problem has no obvious ·best ' solution and much effort has been devoted to performing a realistic appraisal of the algorithm by making a detailed set of comparisons with the performances of appropriate alternative classifiers . Results presented show the algorithm to be comparable in performance with the alternat i ve classifiers but superior in terms of both the cost of making a class i fication and also the intelligibility of the solution.
@inproceedings{ijcai1983p116,
title = {An Appraisal of a Decision Tree Approach to Image Classification},
author = {Shepherd, B. A.},
booktitle = {Proceedings of the Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-83}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Alan Bundy},
pages = {473--474},
year = {1983},
note = {Learning and Knowledge Acquisition},
url = {https://ijcai.org/proceedings/1983/116},
}
TY - CPAPER TI - An Appraisal of a Decision Tree Approach to Image Classification AU - Shepherd, B. A. T2 - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83 PB - International Joint Conferences on Artificial Intelligence PY - 1983 SP - 473 EP - 474 UR - https://ijcai.org/proceedings/1983/116 ER -Copied
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