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JAL
2008
97views more  JAL 2008»
14 years 9 months ago
Experimental studies of variable selection strategies based on constraint weights
An important class of heuristics for constraint satisfaction problems works by sampling information during search in order to inform subsequent decisions. One of these strategies, ...
Richard J. Wallace, Diarmuid Grimes
COCOA
2010
Springer
14 years 7 months ago
Searching for an Axis-Parallel Shoreline
We are searching for an unknown horizontal or vertical line in the plane under the competitive framework. We design a well-suited framework for all cylcic strategies that result in...
Elmar Langetepe
67
Voted
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 3 months ago
Convergence of stochastic search algorithms to gap-free pareto front approximations
Recently, a convergence proof of stochastic search algorithms toward finite size Pareto set approximations of continuous multi-objective optimization problems has been given. The...
Oliver Schütze, Marco Laumanns, Emilia Tantar...
NIPS
2004
14 years 11 months ago
Analysis of a greedy active learning strategy
act out the core search problem of active learning schemes, to better understand the extent to which adaptive labeling can improve sample complexity. We give various upper and low...
Sanjoy Dasgupta
KDD
1995
ACM
98views Data Mining» more  KDD 1995»
15 years 1 months ago
Optimization and Simplification of Hierarchical Clusterings
Clustering is often used to discover structure in data. Clustering systems differ in the objective function used to evaluate clustering quality and the control strategy used to se...
Douglas Fisher