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TSMC
2002
156views more  TSMC 2002»
13 years 7 months ago
Varieties of learning automata: an overview
Automata models of learning systems introduced in the 1960s were popularized as learning automata (LA) in a survey paper in 1974 [1]. Since then, there have been many fundamental a...
M. A. L. Thathachar, P. Shanti Sastry
GECCO
2004
Springer
14 years 25 days ago
Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
Wilfried Jakob, Christian Blume, Georg Bretthauer
ACTAC
2006
101views more  ACTAC 2006»
13 years 7 months ago
Cycle Structure in Automata and the Holonomy Decomposition
The algebraic hierarchical decomposition of finite state automata can be applied wherever a finite system should be `understood' using a hierarchical coordinate system. Here ...
Attila Egri-Nagy, Chrystopher L. Nehaniv
EFDBS
2001
13 years 8 months ago
Extensible Grouping and Aggregation for Data Reconciliation
New applications from the areas of analytical data processing and data integration require powerful features to condense and reconcile available data. Object-relational and other d...
Eike Schallehn, Kai-Uwe Sattler, Gunter Saake
CORR
2010
Springer
139views Education» more  CORR 2010»
13 years 7 months ago
Fast Overlapping Group Lasso
The group Lasso is an extension of the Lasso for feature selection on (predefined) non-overlapping groups of features. The non-overlapping group structure limits its applicability...
Jun Liu, Jieping Ye