We state and analyze the first active learning algorithm which works in the presence of arbitrary forms of noise. The algorithm, A2 (for Agnostic Active), relies only upon the ass...
Maria-Florina Balcan, Alina Beygelzimer, John Lang...
In this paper, we propose a novel approach to solving the distributed constraint optimisation problem (DCOP) that guarantees completeness, while having linear communication comple...
This article presents a multi-agent method to tackle multidisciplinary optimisation, based on the notions of cooperation and self-regulation. It is focused on the preliminary airc...
Jean-Baptiste Welcomme, Marie Pierre Gleizes, Roma...
Business operations involve many factors and relationships and are modeled as complex business process workflows. The execution of these business processes generates vast volumes ...
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, J&oum...
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...