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ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
15 years 4 months ago
A Privacy Preserving Framework for Gaussian Mixture Models
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
Madhusudana Shashanka
ISDA
2010
IEEE
15 years 4 months ago
Comparing SVM ensembles for imbalanced datasets
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
Vasudha Bhatnagar, Manju Bhardwaj, Ashish Mahabal
ICMLA
2009
15 years 4 months ago
Discovering Rules from Disk Events for Predicting Hard Drive Failures
Detecting impending failure of hard disks is an important prediction task which might help computer systems to prevent loss of data and performance degradation. Currently most of t...
Vipul Agarwal, Chiranjib Bhattacharyya, Thirumale ...
SIGSOFT
2010
ACM
15 years 4 months ago
Growth of newcomer competence: challenges of globalization
The transfer of entire projects to offshore locations, the aging and renewal of core developers in legacy products, the recruiting in fast growing Internet companies, and the part...
Minghui Zhou, Audris Mockus
ALT
2004
Springer
16 years 3 months ago
Complexity of Pattern Classes and Lipschitz Property
Rademacher and Gaussian complexities are successfully used in learning theory for measuring the capacity of the class of functions to be learned. One of the most important propert...
Amiran Ambroladze, John Shawe-Taylor