Workflows often operate in volatile environments in which the component services’ QoS changes frequently. Optimally adapting to these changes becomes an important problem that ...
Girish Chafle, Prashant Doshi, John Harney, Sumit ...
Logistic models are arguably one of the most widely used data analysis techniques. In this paper, we present analyses focussing on two important aspects of logistic models—its r...
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
We study a generalization of the classical secretary problem which we call the “matroid secretary problem”. In this problem, the elements of a matroid are presented to an onli...
Moshe Babaioff, Nicole Immorlica, Robert Kleinberg
Abstract. Recent research showed the benefits of adopting formal ontologies as a means for accessing heterogeneous data sources. The use of an ontology not only provides a uniform...