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CORR
2008
Springer
72views Education» more  CORR 2008»
15 years 4 months ago
Inferring Company Structure from Limited Available Information
: In this paper we present several algorithmic techniques for inferring the structure of a company when only a limited amount of information is available. We consider problems with...
Mugurel Ionut Andreica, Angela Andreica, Romulus A...
165
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GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 5 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
CHI
1994
ACM
15 years 8 months ago
Hierarchical visualization with treemaps: making sense of pro basketball data
Treemaps support visualization of large hierarchical information spaces. The treemap generation algorithm is straightforward and application prototypes have only minimal hardware ...
David Turo
JMLR
2006
120views more  JMLR 2006»
15 years 4 months ago
Kernel-Based Learning of Hierarchical Multilabel Classification Models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Juho Rousu, Craig Saunders, Sándor Szedm&aa...
KES
2000
Springer
15 years 8 months ago
Hierarchical growing cell structures: TreeGCS
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsisten...
Victoria J. Hodge, James Austin