eTeknix

Bayesian Program Learning – Teaching a Computer in One Shot

Even in this day and age, computer learning is far behind the learning capability of humans. A team of researchers seek to shrink the gap, however, developing a technique called “Bayesian Program ...
Diginomica

Can Bayesian Networks provide answers when Machine Learning comes up short? It's a question of probabilities

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...
GeekWire

Bayesian boost for A.I.: Researchers find a quicker way to teach a computer

This illustration gives a sense of how characters from alphabets around the world were replicated through human vs. machine learning. (Credit: Danqing Wang) Researchers say they’ve developed an ...
Kaleido Scope

BhGLM- Bayesian hierarchical GLMs and survival models, with applications to genomics and epidemiology

BhGLM is a freely available R package that implements Bayesian hierarchical modeling for high-dimensional clinical and genomic data. It consists of functions for setting up various Bayesian ...
JSTOR Daily

Hierarchical Generalized Linear Models and Frailty Models with Bayesian Nonparametric Mixing

This paper proposes Bayesian nonparametric mixing for some well-known and popular models. The distribution of the observations is assumed to contain an unknown mixed effects term which includes a ...
JSTOR Daily

Hierarchical Bayesian Scaling of Soil Properties across Urban, Agricultural, and Desert Ecosystems

J. P. Kaye, A. Majumdar, C. Gries, A. Buyantuyev, N. B. Grimm, D. Hope, G. D. Jenerette, W. X. Zhu and L. Baker Ecologists increasingly use plot-scale data to inform ...