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GECCO
2003
Springer
167views Optimization» more  GECCO 2003»
14 years 2 months ago
Dimensionality Reduction via Genetic Value Clustering
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
Alexander P. Topchy, William F. Punch
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
14 years 3 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...
CVPR
2011
IEEE
13 years 1 months ago
Compact Hashing with Joint Optimization of Search Accuracy and Time
Similarity search, namely, finding approximate nearest neighborhoods, is the core of many large scale machine learning or vision applications. Recently, many research results dem...
Junfeng He, Regunathan Radhakrishnan, Shih-Fu Chan...
PR
1998
86views more  PR 1998»
13 years 9 months ago
Optimizing the cost matrix for approximate string matching using genetic algorithms
This paper describes a method for optimizing the cost matrix of any approximate string matching algorithm based on the Levenshtein distance. The method, which uses genetic algorit...
Marc Parizeau, Nadia Ghazzali, Jean-Françoi...
ASPDAC
1995
ACM
85views Hardware» more  ASPDAC 1995»
14 years 1 months ago
High-level synthesis scheduling and allocation using genetic algorithms
In this article a scheduling method is presented which is capable of allocating supplementary resources during scheduling. This makes it very suitable in synthesis strategies base...
Marc J. M. Heijligers, L. J. M. Cluitmans, Jochen ...