Search Results for author:
Found 6 papers, 0 papers with code
Introducing a new high-resolution handwritten digits data set with writer characteristics
It contains high-resolution images of handwritten digits together with various writer characteristics which are not available in the well-known MNIST database.
An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children's Oncology Group
We discuss the weaknesses of the CoxPH model we would like to improve upon and then we introduce multiple algorithms, from well-established ones to state-of-the-art models, that solve these issues.
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis
In the following short article we adapt a new and popular machine learning model for inference on medical data sets.
BEST : A decision tree algorithm that handles missing values
The main contribution of this paper is the development of a new decision tree algorithm.
Predicting University Students' Academic Success and Major using Random Forests
In this article, a large data set containing every course taken by every undergraduate student in a major university in Canada over 10 years is analysed.
Likelihood Inflating Sampling Algorithm
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.
