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ICML
2000
IEEE
14 years 8 months 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»
14 years 2 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
19
Voted
COMMA
2008
13 years 9 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
13 years 9 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
13 years 11 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...