TY - GEN
T1 - Comparisons between heuristics based on correlativity and efficiency for landmarker generation
AU - Ler, Daren
AU - Koprinska, Irena
AU - Chawla, Sanjay
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=28344439263&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:28344439263
SN - 0769522912
T3 - Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems
SP - 32
EP - 37
BT - Proceedings - HIS'04
A2 - Ishikawa, M.
A2 - Hashimoto, S.
A2 - Paprzycki, M.
A2 - Barakova, E.
A2 - Yoshida, K.
A2 - Koppen, M.
A2 - Corne, D.M.
A2 - Abraham, A.
T2 - Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems
Y2 - 5 December 2004 through 8 December 2004
ER -