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» Reliability Design for Large Scale Data Warehouses
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ICDE
2012
IEEE
267views Database» more  ICDE 2012»
13 years 2 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...
IJCNN
2007
IEEE
15 years 6 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
SIGCOMM
2003
ACM
15 years 5 months ago
A measurement-based analysis of multihoming
Multihoming has traditionally been employed by stub networks to enhance the reliability of their network connectivity. With the advent of commercial “intelligent route controlâ€...
Aditya Akella, Bruce M. Maggs, Srinivasan Seshan, ...
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 5 days ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
ICDE
2007
IEEE
128views Database» more  ICDE 2007»
15 years 3 months ago
Realizing Privacy-Preserving Features in Hippocratic Databases
Preserving privacy has become a crucial requirement for operating a business that manages personal data. Hippocratic databases have been proposed to answer this requirement throug...
Yasin Laura-Silva, Walid G. Aref