Abstract Observing behaviors of protein pathways and genetic networks under various environments in living cells is essential for unraveling disease and developing drugs. For that ...
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
With the Distributed File System Replication component, DFS-R, as the central theme, we present selected protocol problems and validation methods encountered during design and deve...
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...