The regularization principals [31] lead approximation schemes to deal with various learning problems, e. g., the regularization of the norm in a reproducing kernel Hilbert space for the ill-posed problem. In this paper, ...

Over the last several years, metamodels and ontologies have been developed in parallel isolation. Ontological thinking, largely from the research field of artificial intelligence, has been increasingly investigated by ...

The EU-funded project OOSPICE (IST-1999-29073) is based on Component-Based Software Engineering principles. It provides a connection between processes and process engineering, on the one hand, and process capability assessment ...

Detailed information on ACM DL web site: http://dl.acm.org/citation.cfm?id=1969389.1969400 "BSPNN: boosted subspace probabilistic neural network for email security"

In automated and unsupervised multi-agent environments, where agents act on behalf of their stakeholders, the measurement and computation of trust is a key building block upon which all business interaction scenarios ...

Many complex problems including financial investtnent planning. foreign exchange trading, knowledge discovery from large/multiple databases require hybrid intelligent systems that integrate many intelligent techniques ...

This paper discusses the multidisciplinary nature of socio-technical change research and the challenges of building a multidisciplinary team to address the issues of socio-technical change in information and communication ...

We propose that the key to building intelligent negotiating agents is to take an agent's historic observations as primitive, to model that agent's changing uncertainty in that information, and to use that model as the ...