We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Background: The application of high throughput approaches to the identification of protein interactions has offered for the first time a glimpse of the global interactome of some ...
Maria Persico, Arnaud Ceol, Caius Gavrila, Robert ...
In this work we consider ontologies as knowledge structures that specify terms, their properties and relations among them to enable knowledge extraction from texts. We represent o...
nd: A key abstraction in representing proteomics knowledge is the notion of unique identifiers for individual entities (e.g. proteins) and the massive graph of relationships among...
Andrew K. Smith, Kei-Hoi Cheung, Kevin Y. Yip, Mar...
We use mean value analysis models to compare representative hardware and software cache coherence schemes for a large-scale shared-memory system. Our goal is to identify the workl...
Sarita V. Adve, Vikram S. Adve, Mark D. Hill, Mary...