High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
The increasing complexity of clinical trials has generated an enormous requirement for knowledge and information specification at all stages of the trials, including planning, doc...
Ravi D. Shankar, Susana B. Martins, Martin J. O'Co...
In order to generate high-quality code for modern processors, a compiler must aggressively schedule instructions, maximizing resource utilization for execution efficiency. For a ...
Matthew J. Bridges, Neil Vachharajani, Guilherme O...
Abstract. In recent years, dynamic local search (DLS) clause weighting algorithms have emerged as the local search state-of-the-art for solving propositional satisfiability proble...
Abdelraouf Ishtaiwi, John Thornton, Abdul Sattar, ...
Images constitute data that lives in a very high dimensional space, typically of the order of hundred thousand dimensions. Drawing inferences from data of such high dimensions soon...