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AAAI
2007
13 years 10 months ago
Multi-Label Learning by Instance Differentiation
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...
Min-Ling Zhang, Zhi-Hua Zhou
FOCS
2009
IEEE
13 years 5 months ago
Learning and Smoothed Analysis
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...
INFOCOM
2007
IEEE
14 years 2 months ago
Optimal Provisioning of Elastic Service Availability
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...
JSAC
2008
109views more  JSAC 2008»
13 years 6 months ago
Elastic service availability: utility framework and optimal provisioning
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...
CEC
2007
IEEE
14 years 2 months ago
Concerning the potential of evolutionary support vector machines
— 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...