Background: DNA microarrays are popular tools for measuring gene expression of biological samples. This ever increasing popularity is ensuring that a large number of microarray st...
Mathieu Miron, Owen Z. Woody, Alexandre Marcil, Ca...
In analyzing data from social and communication networks, we encounter the problem of classifying objects where there is an explicit link structure amongst the objects. We study t...
We propose a refinement approach to language emptiness, which is based on the enumeration and the successive refinements of SCCs on over-approximations of the exact system. Our alg...
Chao Wang, Roderick Bloem, Gary D. Hachtel, Kavita...
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
Tanya Roosta, Martin J. Wainwright, Shankar S. Sas...
—Cube computation over massive datasets is critical for many important analyses done in the real world. Unlike commonly studied algebraic measures such as SUM that are amenable t...
Arnab Nandi, Cong Yu, Philip Bohannon, Raghu Ramak...