Constructing Nominal X-of-N Attributes

Zheng, Zijian

Constructing Nominal X-of-N Attributes

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Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Learning. Pages 1064-1069.

Abstract

Most constructive induction researchers focus only on new boolean attributes. This paper reports a new constructive induction algorithm, called XofN, that constructs new nominal attributes in the form of X-of-N representations. An X-of-N is a set containing one or more attribute-value pairs. For a given instance, its value corresponds to the number of its attribute-value pairs that are true. The promising preliminary experimental results, on both artificial and real-world domains, show that constructing new nominal attributes in the form of X-of-N representations can significantly improve the performance of selective induction in terms of both higher prediction accuracy and lower theory complexity.

Zijian Zheng. 1995. Constructing Nominal X-of-N Attributes. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95. IJCAI, 1064–1069. https://ijcai.org/proceedings/1995/138

@inproceedings{ijcai1995p138,
  title     = {Constructing Nominal X-of-N Attributes},
  author    = {Zheng, Zijian},
  booktitle = {Proceedings of the Fourteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-95}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Chris S. Mellish},
  pages     = {1064--1069},
  year      = {1995},
  note      = {Learning},
  url       = {https://ijcai.org/proceedings/1995/138},
}

TY  - CPAPER
TI  - Constructing Nominal X-of-N Attributes
AU  - Zheng, Zijian
T2  - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1995
SP  - 1064
EP  - 1069
UR  - https://ijcai.org/proceedings/1995/138
ER  -