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FQAS
2006
Springer
99views Database» more  FQAS 2006»
15 years 8 months ago
Partition-Based Approach to Processing Batches of Frequent Itemset Queries
We consider the problem of optimizing processing of batches of frequent itemset queries. The problem is a particular case of multiple-query optimization, where the goal is to minim...
Przemyslaw Grudzinski, Marek Wojciechowski, Maciej...
AAAI
2008
15 years 6 months ago
Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach
In this paper, a bottom-up hierarchical genetic algorithm is proposed to visualize clustered data into a planar graph. To achieve global optimization by accelerating local optimiz...
Jiayu Zhou, Youfang Lin, Xi Wang
138
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PAMI
1998
94views more  PAMI 1998»
15 years 4 months ago
Bayesian Approaches to Gaussian Mixture Modeling
—A Bayesian-based methodology is presented which automatically penalizes overcomplex models being fitted to unknown data. We show that, with a Gaussian mixture model, the approac...
Stephen J. Roberts, Dirk Husmeier, Iead Rezek, Wil...
CEC
2007
IEEE
15 years 10 months ago
Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship betwe...
Jorge Maturana, Frédéric Saubion
GECCO
2004
Springer
123views Optimization» more  GECCO 2004»
15 years 9 months ago
A Hybrid Genetic Approach for Circuit Bipartitioning
We propose a hybrid genetic algorithm for partitioning a VLSI circuit graph into two disjoint graphs of minimum cut size. The algorithm includes a local optimization heuristic whic...
Jong-Pil Kim, Yong-Hyuk Kim, Byung Ro Moon