: 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...
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...
Treemaps support visualization of large hierarchical information spaces. The treemap generation algorithm is straightforward and application prototypes have only minimal hardware ...
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...
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsisten...