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ICML
2000
IEEE
16 years 15 days ago
Meta-Learning by Landmarking Various Learning Algorithms
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
Bernhard Pfahringer, Hilan Bensusan, Christophe G....
EUROCAST
2009
Springer
185views Hardware» more  EUROCAST 2009»
15 years 6 months ago
Solving the Euclidean Bounded Diameter Minimum Spanning Tree Problem by Clustering-Based (Meta-)Heuristics
The bounded diameter minimum spanning tree problem is an NP-hard combinatorial optimization problem arising in particular in network design. There exist various exact and metaheuri...
Martin Gruber, Günther R. Raidl
COMMA
2008
15 years 1 months ago
Integrating Object and Meta-Level Value Based Argumentation
Abstract. A recent extension to Dung's argumentation framework allows for arguments to express preferences between other arguments. Value based argumentation can be formalised...
Sanjay Modgil, Trevor J. M. Bench-Capon
AIPS
2006
15 years 1 months ago
Optimal Rectangle Packing: A Meta-CSP Approach
We present a new approach to optimal rectangle packing, an NP-complete problem that can be used to model many simple scheduling tasks. Recent attempts at incorporating artificial ...
Michael D. Moffitt, Martha E. Pollack
COMPSAC
2004
IEEE
15 years 3 months ago
A Development Framework for Rapid Meta-Heuristics Hybridization
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...