Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...
Adam Tauman Kalai, Alex Samorodnitsky, Shang-Hua T...
Abstract— Service availability is one of the most closely scrutinized metrics in offering network services. It is important to costeffectively provision a managed and differentia...
Dahai Xu, Ying Li, Mung Chiang, A. Robert Calderba...
Service availability is one of the most closely scrutinized metrics in offering network services. It is important to cost-effectively provision a managed and differentiated networ...
Dahai Xu, Ying Li, Mung Chiang, A. Robert Calderba...
— Within the present paper, we put forward a novel hybridization between support vector machines and evolutionary algorithms. Evolutionary support vector machines consider the cl...
Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumi...