Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of decision trees (DT) and Transformation Based Learning (TBL). In thi...
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
Integration of XML data is an increasingly important problem and many methods have recently been developed. In this talk, we examine the related and more challenging task of how t...
Abstract. Contemporary picture archiving and communication systems are limited in managing large and varied image collections, because content-based image retrieval (CBIR) methods ...
Sameer Antani, Thomas Martin Deserno, L. Rodney Lo...
Abstract. Most approaches to B2B interoperability are based on language syntax standardisation, usually by XML Schemas. However, due to XML expressivity limitations, they are diffi...