6 citations · 8 across the 2 of their papers we have counts for
4 papers
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…
Big Data Classification Using Augmented Decision Trees
Rajiv Sambasivan, Sourish Das
We present an algorithm for classification tasks on big data. Experiments conducted as part of this study indicate that the algorithm can be as accurate as ensemble methods such as…
Big Data Regression Using Tree Based Segmentation
Rajiv Sambasivan, Sourish Das
Scaling regression to large datasets is a common problem in many application areas. We propose a two step approach to scaling regression to large datasets. Using a regression tree…
A Statistical Machine Learning Approach to Yield Curve Forecasting
Rajiv Sambasivan, Sourish Das
Yield curve forecasting is an important problem in finance. In this work we explore the use of Gaussian Processes in conjunction with a dynamic modeling strategy, much like the Kal…