Patterns of scalable Bayesian inference
E Angelino, MJ Johnson… - Foundations and Trends …, 2016 - nowpublishers.com
Datasets are growing not just in size but in complexity, creating a demand for rich models
and quantification of uncertainty. Bayesian methods are an excellent fit for this demand, but …
and quantification of uncertainty. Bayesian methods are an excellent fit for this demand, but …
SaaS enabled admission control for MCMC simulation in cloud computing infrastructures
JL Vázquez-Poletti, R Moreno-Vozmediano… - Computer Physics …, 2017 - Elsevier
Abstract Markov Chain Monte Carlo (MCMC) methods are widely used in the field of
simulation and modelling of materials, producing applications that require a great amount of …
simulation and modelling of materials, producing applications that require a great amount of …
[PDF][PDF] Study of stochastic and machine learning techniques for anomaly-based Web attack detection
CT Giménez - 2015 - e-archivo.uc3m.es
Este periodo doctoral ha sido un camino de gran aprendizaje. Un camino con sus picos,
valles, aventuras, obstáculos... todos ellos merecen ser vividos. Y es que una tesis no es …
valles, aventuras, obstáculos... todos ellos merecen ser vividos. Y es que una tesis no es …