This paper presents a general method for incorporating prior knowledge into kernel methods such as Support Vector Machines. It applies when the prior knowledge can be formalized b...
In this paper we give an overview of a multiontology disambiguation method, targeted to discover the intended meaning of words in unstructured web contexts. It receives an ambiguo...
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
Purpose – The purpose of this paper is to examine the integration of digital library (DL) technologies with ontology-based knowledge representation in providing semantic rich in...