17 citations · 44 across the 3 of their papers we have counts for
3 papers
Bayesian Models of Data Streams with Hierarchical Power Priors
Andres Masegosa, Thomas D. Nielsen, Helge Langseth +3
Making inferences from data streams is a pervasive problem in many modern data analysis applications. But it requires to address the problem of continuous model updating and adapt…
AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning
Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López +5
The AMIDST Toolbox is a software for scalable probabilistic machine learning with a spe- cial focus on (massive) streaming data. The toolbox supports a flexible modeling language b…
Optimal sampling patterns for Zernike polynomials
D. Ramos-Lopez, M. A. Sanchez-Granero, M. Fernandez-Martinez +1
A pattern of interpolation nodes on the disk is studied, for which the interpolation problem is theoretically unisolvent, and which renders a minimal numerical condition for the co…