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Continuous-valued X-of-N Attributes Versus Nominal X-of-N Attributes for Constructive Induction: A Case Study (1995)
| Venue: | for Young Computer Scientists, Peking University |
| Citations: | 5 - 4 self |
BibTeX
@INPROCEEDINGS{Zheng95continuous-valuedx-of-n,
author = {Zijian Zheng},
title = {Continuous-valued X-of-N Attributes Versus Nominal X-of-N Attributes for Constructive Induction: A Case Study},
booktitle = {for Young Computer Scientists, Peking University},
year = {1995},
pages = {566--573},
publisher = {Press}
}
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Abstract
: 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. In this paper, we explore the characteristics and performance of continuousvalued X-of-N attributes versus nominal X-of-N attributes for constructive induction. Nominal X-of-Ns are more representationally powerful than continuous-valued X-of-Ns, but the former suffer the "fragmentation" problem, although some mechanisms such as subsetting can help to solve the problem. Two approaches to constructive induction using continuous-valued X-of-Ns are described. Continuous-valued X-of-Ns perform better than nominal ones on domains that need X-of-Ns with only one cut point. On domains that need X-of-N representations with more than one cut point, nominal X-of-Ns perform better than continuous-valued ones. Experimental results on a set of artificial and real-world domains support these statements. 1. Introduction A wide variet...
Keyphrases
constructive induction case study cut point attribute-value pair x-of-n attribute wide variet nominal x-of-ns continuous-valued one x-of-n representation continuous-valued x-of-ns perform nominal one real-world domain experimental result nominal x-of-n attribute continuous-valued x-of-ns nominal x-of-ns perform fragmentation problem
