Abstract: This paper presents a method for semi-automatically building tailored application ontologies from a set of data acquisition forms. Such ontologies are intended to facilit...
Graph-based semi-supervised learning (SSL) algorithms have been successfully used to extract class-instance pairs from large unstructured and structured text collections. However,...
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
This paper deals with the problem of additional sensor location in order to recover the observability of any given part of the state and unknown input for structured linear system...