This paper reviews a class of weight-setting methods for lazy learning algorithms. We introduce a framework for distinguishing these methods and empirically ...
This paper reviews a class of weight-setting methods for lazy learning algorithms. We introduce a framework for distinguishing these methods and empirically ...
A class of weight-setting methods for lazy learning algorithms which use performance feedback to assign weight settings demonstrated three advantages over ...
The authors developed a lazy learning algorithm feature weighting categorisation framework. They used their framework to compare a selection of algorithms and ...
This paper reviews a class of weight-setting methods for lazy learning algorithms. We introduce a framework for distinguishing these methods and empirically ...
However, these variants have not been categorized nor empirically compared. This paper reviews a class of weight-setting methods for lazy learning algorithms.
A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms · Computer Science. Artificial Intelligence Review · 2004.
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A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms. D Wettschereck, DW Aha, T Mohri. Artificial Intelligence ...
Jun 17, 2021 · Aha, and Takao Mohri. (1997). “A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms.” In: ...
A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms · KP Homsapaya. downloadDownload free PDF View PDF ...