Inpatient length of stay (LoS) is an important managerial metric which i...
We propose a unifying setting that combines existing restricted kernel
m...
Machine and deep learning methods for medical and healthcare application...
In this paper, we propose a kernel principal component analysis model fo...
Commonly, machine learning models minimize an empirical expectation. As ...
Generative Adversarial Networks (GANs) are performant generative methods...
Quantifying similarity between data objects is an important part of mode...
Starting from a dataset with input/output time series generated by multi...
Early diagnosis is important for type 2 diabetes (T2D) to improve patien...
Assessing the performance of a learned model is a crucial part of machin...
We introduce the hyperparameter search problem in the field of machine
l...
EnsembleSVM is a free software package containing efficient routines to
...
We present an approximation scheme for support vector machine models tha...
We present a novel approach to learn binary classifiers when only positi...