Principled Constructive Induction
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Machine Learning. Pages 651-655.
Abstract
A framework for the construction of new features for hard classification tasks is discussed. The approach brings together ideas from the fields of machine learning, computational geometry, and pattern recognition. Two heuristics for evaluation of newly-constructed features are proposed, and their statistical significance verified. Finally, it is shown how the proposed framework can be used to combine techniques for selection of representative examples with techniques for construction of new features, in order to solve difficult problems in learning from examples.
@inproceedings{ijcai1989p104,
title = {Principled Constructive Induction},
author = {Mehra, Pankaj and Rendell, Larry A. and Wah, Benjamin W.},
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 = {651--655},
year = {1989},
month = {8},
note = {Machine Learning},
url = {https://ijcai.org/proceedings/1989/104},
}
TY - CPAPER TI - Principled Constructive Induction AU - Mehra, Pankaj AU - Rendell, Larry A. AU - Wah, Benjamin W. T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 651 EP - 655 UR - https://ijcai.org/proceedings/1989/104 ER -Copied
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