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GECCO
2004
Springer
150views Optimization» more  GECCO 2004»
15 years 12 months ago
Parameter Adaptation within Co-adaptive Learning Classifier Systems
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
Chung-Yuan Huang, Chuen-Tsai Sun
ICASSP
2011
IEEE
14 years 10 months ago
Maximum margin structure learning of Bayesian network classifiers
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
Franz Pernkop, Michael Wohlmay, Manfred Mücke
HICSS
2011
IEEE
183views Biometrics» more  HICSS 2011»
14 years 10 months ago
Optimizing Access across Multiple Hierarchies in Data Warehouses
In enterprise data warehouses, different users in different business units often define their own application specific dimension hierarchies tailor made to their reporting and b...
Lipyeow Lim, Bishwaranjan Bhattacharjee
ICASSP
2011
IEEE
14 years 10 months ago
Ordering for energy efficient estimation and optimization in sensor networks
A discretized version of a continuous optimization problem is considered for the case where data is obtained from a set of dispersed sensor nodes and the overall metric is a sum o...
Rick S. Blum
ICAISC
2004
Springer
15 years 12 months ago
Comparison of Instances Seletion Algorithms I. Algorithms Survey
Abstract. Several methods were proposed to reduce the number of instances (vectors) in the learning set. Some of them extract only bad vectors while others try to remove as many in...
Norbert Jankowski, Marek Grochowski