Breast Cancer Diagnosis via Classification Algorithms

no code implementations • 3 Jul 2018 • Reihaneh Entezari

In this paper, we analyze the Wisconsin Diagnostic Breast Cancer Data using Machine Learning classification techniques, such as the SVM, Bayesian Logistic Regression (Variational Approximation), and K-Nearest-Neighbors.

BIG-bench Machine Learning Classification +2

Likelihood Inflating Sampling Algorithm

no code implementations • 6 May 2016 • Reihaneh Entezari, Radu V. Craiu, Jeffrey S. Rosenthal

Markov Chain Monte Carlo (MCMC) sampling from a posterior distribution corresponding to a massive data set can be computationally prohibitive since producing one sample requires a number of operations that is linear in the data size.