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 ...
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 ...
Business Wire

Gamalon Invents and Commercializes Radical New Approach to AI; Accelerating Machine Learning by More Than 100x

CAMBRIDGE, Mass.--(BUSINESS WIRE)--Today, Gamalon, Inc. emerged from stealth mode to announce that it has developed a game-changing new approach to artificial intelligence/machine learning called ...
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 ...
JSTOR Daily

A hierarchical Bayesian model for improving short-term forecasting of hospital demand by including meteorological information

This is a preview. Log in through your library . Abstract The effect of weather on health has been widely researched, and the ability to forecast meteorological events can offer valuable insights into ...
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 ...