UML semantic variation points provide intentional degrees of freedom for the interpretation of the metamodel semantics. The interest of semantic variation points is that UML now b...
We propose new methods to exploit contemporaneous text, such as on-line news articles, to improve language models for automatic speech recognition and other natural language proce...
Recent text and speech processing applications such as speech mining raise new and more general problems related to the construction of language models. We present and describe in...
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...