Posts Tagged ‘ GPU Computing with R ’

Support Vector Machine with GPU

August 27, 2011
By
Support Vector Machine with GPU

Most elementary statistical inference algorithms assume that the data can be modeled by a set of linear parameters with a normally distributed noise component. A new class of algorithms called support vector machine (SVM) remove such constraint.rea...

Read more »

Kendall Rank Coefficient by GPU

December 7, 2010
By
Kendall Rank Coefficient by GPU

The correlation coefficient is a measurement of correlation between two random variables. While its computation is straightforward, it is not readily applicable to non-parametric statistics.read more

Read more »

GPU Computing with R

August 16, 2010
By
GPU Computing with R

Statistics is computationally intensive. Routine statistical tasks such as data extraction, graphical summary, and technical interpretation all require heavy use of modern computing machinery. Obviously, these tasks can benefit greatly from a paralle...

Read more »