Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation

H
HIS
2004
Fourth International Conference on Hybrid Intelligent Systems (HIS'04)
Abstract - Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation

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Fourth International Conference on Hybrid Intelligent Systems (HIS'04)

Kitakyushu, Japan

December 05-December 08

ISBN: 0-7695-2291-2

	ASCII Text	x
	Daren Ler, Irena Koprinska, Sanjay Chawla, "Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation," Hybrid Intelligent Systems, International Conference on, pp. 32-37, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004.

	BibTex	x
	@article{ 10.1109/ICHIS.2004.33, author = {Daren Ler and Irena Koprinska and Sanjay Chawla}, title = {Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation}, journal ={Hybrid Intelligent Systems, International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2291-2}, pages = {32-37}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.33}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hybrid Intelligent Systems, International Conference on TI - Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation SN - 0-7695-2291-2 SP32 EP37 A1 - Daren Ler, A1 - Irena Koprinska, A1 - Sanjay Chawla, PY - 2004 KW - null VL - 0 JA - Hybrid Intelligent Systems, International Conference on ER -

Daren Ler, University of Sydney, Australia

Irena Koprinska, University of Sydney, Australia

Sanjay Chawla, University of Sydney, Australia

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.33

Recently, we proposed a new meta-learning approach based on landmarking. This approach, which utilises a new set of criteria for selecting landmarkers, generates a set of landmarkers that are each functions over the performance over subsets of the candidate algorithms being landmarked.

In this paper, we experiment with three heuristics based on correlativity and efficiency. With each heuristic, the landmarkers generated using linear regression are able to estimate accuracy well, even when only utilising a small fraction of the given algorithms. The results also show that the heuristic in which efficiencies are estimated via 1-nearest neighbour outperformed the other heuristics.

Citation:

Daren Ler, Irena Koprinska, Sanjay Chawla, "Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation," his, pp.32-37, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004

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