6 citations · 6 across the 6 of their papers we have counts for
6 papers
Variational EP with Probabilistic Backpropagation for Bayesian Neural Networks
Kehinde Olobatuyi
I propose a novel approach for nonlinear Logistic regression using a two-layer neural network (NN) model structure with hierarchical priors on the network weights. I present a hybr…
Zero-Inflated Poisson Cluster-Weighted Models: Properties and Applications
Kehinde Olobatuyi
In this paper, I propose a new class of Zero-Inflated Poisson models into the family of Cluster Weighted Models (CWMs) called Zero-Inflated Poisson CWMs (ZIPCWM). ZIPCWM extends Po…
Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion
Robert G. Aykroyd, Kehinde Olobatuyi
Reconstructing images from downsampled and noisy measurements, such as MRI and low dose Computed Tomography (CT), is a mathematically ill-posed inverse problem. We propose an easy-…
Multinomial Cluster-Weighted Models for High-Dimensional Data
Kehinde Olobatuyi, Oludare Ariyo
Modeling of high-dimensional data is very important to categorize different classes. We develop a new mixture model called Multinomial cluster-weighted model (MCWM). We derive the…
Cluster Weighted Model Based on TSNE algorithm for High-Dimensional Data
Kehinde Olobatuyi
Similar to many Machine Learning models, both accuracy and speed of the Cluster weighted models (CWMs) can be hampered by high-dimensional data, leading to previous works on a pars…
A New Class of Generalized Burr III Distribution for Lifetime Data
Kehinde Olobatuyi
For the first time, the Generalized Gamma Burr III (GGBIII) is introduced as an important model for problems in several areas such as actuarial sciences, meteorology, economics, fi…