The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
We study solutions to the problem of evaluating image similarity in the context of content-based image retrieval (CBIR). Retrieval is formulated as a classification problem, wher...
- Poor data in information systems impede the quality of decision-making in many modern organizations. Manual business process activities and application services are never execute...
Traditional, standards-based approaches to certification are hugely expensive, of questionable credibility when development is outsourced, and a barrier to innovation. This paper ...
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...