1 code implementation • 3 Mar 2020 • Saurav Manchanda, Khoa Doan, Pranjul Yadav, S. Sathiya Keerthi
This paper addresses the classic problem of regression, which involves the inductive learning of a map, $y=f(x, z)$, $z$ denoting noise, $f:\mathbb{R}^n\times \mathbb{R}^k \rightarrow \mathbb{R}^m$.
no code implementations • 7 Feb 2020 • Saurav Manchanda, Pranjul Yadav, Khoa Doan, S. Sathiya Keerthi
We present an experimental analysis on the historical logs of a major display advertising platform (https://www. criteo. com/).
1 code implementation • 30 May 2019 • Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari
Such a real world situation is best represented using an implicit model in which an extra noise vector, $z$ is included with $x$ as input.
no code implementations • 9 Feb 2017 • Pranjul Yadav, Michael Steinbach, Vipin Kumar, Gyorgy Simon
In this manuscript, we provide a structured and comprehensive overview of data mining techniques for modeling EHR data.
no code implementations • 15 Nov 2016 • Pranjul Yadav, Lisiane Prunelli, Alexander Hoff, Michael Steinbach, Bonnie Westra, Vipin Kumar, Gyorgy Simon
We also evaluated our causal rule mining framework on the Electronic Health Records (EHR) data of a large cohort of patients from Mayo Clinic and showed that the patterns we extracted are sufficiently rich to explain the controversial findings in the medical literature regarding the effect of a class of cholesterol drugs on Type-II Diabetes Mellitus (T2DM).