The complexity, approximation and algorithmic issues of several clustering problems are studied. These non-traditional clustering problems arise from recent studies in microarray ...
Abstract. ID-Logic is a knowledge representation language that extends first-order logic with non-monotone inductive definitions. This paper introduces an ID-Logic based framewor...
Aggregating and presenting a wide variety of information pertinent to the biological and pharmacological effects of chemical compounds will be a critical part of 21st century drug ...
Sashikiran Challa, David J. Wild, Ying Ding, Qian ...
Accurately modeling server power consumption is critical in designing data center power provisioning infrastructure. However, to date, most research proposals have used average CP...
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Has...