Abstract. The Multiple Bernoulli (MB) Language Model has been generally considered too computationally expensive for practical purposes and superseded by the more efficient multino...
When dealing with large quantities of clauses, the use of persistent knowledge is inevitable, and indexing methods are essential to answer queries efficiently. We introduce PerKMan...
Dimitris G. Kapopoulos, Michael Hatzopoulos, Panag...
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
Increasing amounts of RDF data are available on the Web for consumption by Semantic Web browsers and indexing by Semantic Web search engines. Current Semantic Web publishing practi...
Richard Cyganiak, Holger Stenzhorn, Renaud Delbru,...