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Found 8 papers, 2 papers with code
Prediction of COVID-19 Disease Progression in India : Under the Effect of National Lockdown
The $\mathcal{R}_0$ of Andhra Pradesh (2. 96), Delhi (2. 82) and West Bengal (2. 77) is more than the India's $\mathcal{R}_0=2. 75$, as of 04 March, 2020.
A Bayesian Perspective of Statistical Machine Learning for Big Data
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 large in size.
Big Data Classification Using Augmented Decision Trees
The second step of the algorithm consists of using a suitable classifier to determine the class labels for the non-homogeneous leaf nodes.
Big Data Regression Using Tree Based Segmentation
In the experiments reported in this study, we found that the predictive performance of the proposed approach matched the predictive performance of Gradient Boosted Trees.
Sparse Portfolio selection via Bayesian Multiple testing
The statistical power of the Bayes Oracle portfolio is uniformly better for the $k$-factor model ($k>1$) than the one factor CAPM.
A Statistical Machine Learning Approach to Yield Curve Forecasting
A Gaussian Process is used to model the yield curve.
Clustering Mixed Datasets Using Homogeneity Analysis with Applications to Big Data
Datasets with a mixture of numerical and categorical attributes are routinely encountered in many application domains.
Fast Gaussian Process Regression for Big Data
A known limitation in the application of Gaussian Processes to regression tasks is that the computation of the solution requires performing a matrix inversion.
