Fast Counting in Machine Learning Applications

4 code implementations • 12 Apr 2018 • Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola

We propose scalable methods to execute counting queries in machine learning applications.

BIG-bench Machine Learning Computational Efficiency

Scalable Exact Parent Sets Identification in Bayesian Networks Learning with Apache Spark

1 code implementation • 18 May 2017 • Subhadeep Karan, Jaroslaw Zola

In Machine Learning, the parent set identification problem is to find a set of random variables that best explain selected variable given the data and some predefined scoring function.

Fraud Detection

Exact Structure Learning of Bayesian Networks by Optimal Path Extension

1 code implementation • 9 Aug 2016 • Subhadeep Karan, Jaroslaw Zola

The problem of exact structure learning is to find a network structure that is optimal under certain scoring criteria.