This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
This paper concerns the design of a workflow which permits to feed and query a data warehouse opened on the Web, driven by a domain ontology. This data warehouse has been built to...
As Internet services become ubiquitous, the selection and management of diverse server platforms now affects the bottom line of almost every firm in every industry. Ideally, such ...
Christopher Stewart, Terence Kelly, Alex Zhang, Ka...
Abstract. The sharing of content by communities of users (e.g., scientists) in a P2P context remains cumbersome. We argue that main reasons for this is the lack of calculus and alg...
: Data warehousing and Online Analytical Processing (OLAP) technologies are now moving onto handling complex data that mostly originate from the web. However, integrating such data...