Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Transportation and Logistics are a major sector of the economy, however data analysis in this domain has remained largely in the province of optimization. The potential of data mi...
Wei Jiang, Jaideep Vaidya, Zahir Balaporia, Chris ...
The Family History Knowledge Base (FHKB) was presented at OWLED in 2008. The FHKB uses a rich object property hierarchy, including many OWL 2 features, to derive many entailments o...
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...