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ICML
2005
IEEE
14 years 8 months ago
Augmenting naive Bayes for ranking
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
Harry Zhang, Liangxiao Jiang, Jiang Su
CCA
2009
Springer
13 years 11 months ago
Effective Choice and Boundedness Principles in Computable Analysis
Abstract. In this paper we study a new approach to classify mathematical theorems according to their computational content. Basically, we are asking the question which theorems can...
Vasco Brattka, Guido Gherardi
ACMSE
2006
ACM
13 years 9 months ago
Hybrid intelligent systems for network security
Society has grown to rely on Internet services, and the number of Internet users increases every day. As more and more users become connected to the network, the window of opportu...
J. Lane Thames, Randal Abler, Ashraf Saad
SIAMMAX
2010
104views more  SIAMMAX 2010»
13 years 2 months ago
Rigorous Perturbation Bounds of Some Matrix Factorizations
This article presents rigorous normwise perturbation bounds for the Cholesky, LU and QR factorizations with normwise or componentwise perturbations in the given matrix. The conside...
Xiao-Wen Chang, Damien Stehlé
CIKM
2008
Springer
13 years 9 months ago
Proactive learning: cost-sensitive active learning with multiple imperfect oracles
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...
Pinar Donmez, Jaime G. Carbonell