6 citations · 8 across the 3 of their papers we have counts for
3 papers · 1 filter
Characterization of Frequent Online Shoppers using Statistical Learning with Sparsity
Rajiv Sambasivan, Mark Burgess, Jörg Schad +4
Developing shopping experiences that delight the customer requires businesses to understand customer taste. This work reports a method to learn the shopping preferences of frequent…
A Bayesian Perspective of Statistical Machine Learning for Big Data
Rajiv Sambasivan, Sourish Das, Sujit K Sahu
Statistical Machine Learning (SML) refers to a body of algorithms and methods by which computers are allowed to discover important features of input data sets which are often very…
Fast Gaussian Process Regression for Big Data
Sourish Das, Sasanka Roy, Rajiv Sambasivan
Gaussian Processes are widely used for regression tasks. A known limitation in the application of Gaussian Processes to regression tasks is that the computation of the solution req…