Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...
For object-oriented databases we propose a new technique for optimizing queries containing method invocations. This technique is based on the definition of inverse methods and que...
This paper describes an approach (and its implementation) on how to handle the large number of data from user centered engineering processes. It uses objectoriented abstraction me...
We address the problems of estimating the computer efficiency and the computer capacity. We define the computer efficiency and capacity and suggest a method for their estimation, ...
The semantic web is based on ontologies and metadata that indexes resources using ontologies. This indexing is called annotation. Ontology based information retrieval is an operati...