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» A primer of simple theories
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190
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ECML
2007
Springer
16 years 1 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
175
Voted
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
16 years 1 months ago
Another investigation on tournament selection: modelling and visualisation
Tournament selection has been widely used and studied in evolutionary algorithms. To supplement the study of tournament selection, this paper provides several models describing th...
Huayang Xie, Mengjie Zhang, Peter Andreae
185
Voted
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
16 years 1 months ago
Analysis of evolutionary algorithms for the longest common subsequence problem
In the longest common subsequence problem the task is to find the longest sequence of letters that can be found as subsequence in all members of a given finite set of sequences....
Thomas Jansen, Dennis Weyland
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
16 years 1 months ago
Thoughts on solution concepts
This paper explores connections between Ficici’s notion of solution concept and order theory. Ficici postulates that algorithms should ascend an order called weak preference; th...
Anthony Bucci, Jordan B. Pollack
189
Voted
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 1 months ago
Towards billion-bit optimization via a parallel estimation of distribution algorithm
This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm (cGA) to solve very large scale problems with millions to billions of va...
Kumara Sastry, David E. Goldberg, Xavier Llor&agra...