We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
The goal of the paper is to present a novel Chi-square similarity measure and assess its performance through comparison with well-known similarity measures such as Cosine, Dice, a...
Oktay Ibrahimov, Ishwar K. Sethi, Nevenka Dimitrov...
We present Content Extraction via Tag Ratios (CETR) – a method to extract content text from diverse webpages by using the HTML document’s tag ratios. We describe how to comput...
Background: The increasing availability of fungal genome sequences provides large numbers of proteins for evolutionary and phylogenetic analyses. However the heterogeneity of data...
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...