23 citations · 37 across the 4 of their papers we have counts for
4 papers
Ann: A domain-specific language for the effective design and validation of Java annotations
Irene Córdoba, Juan de Lara
This paper describes a new modelling language for the effective design and validation of Java annotations. Since their inclusion in the 5th edition of Java, annotations have grown…
Towards Gaussian Bayesian Network Fusion
Irene Córdoba, Concha Bielza, Pedro Larrañaga
Data sets are growing in complexity thanks to the increasing facilities we have nowadays to both generate and store data. This poses many challenges to machine learning that are le…
A modelling language for the effective design of Java annotations
Irene Córdoba, Juan de Lara
This paper describes a new modelling language for the effective design of Java annotations. Since their inclusion in the 5th edition of Java, annotations have grown from a useful t…
A review of Gaussian Markov models for conditional independence
Irene Córdoba, Concha Bielza, Pedro Larrañaga
Markov models lie at the interface between statistical independence in a probability distribution and graph separation properties. We review model selection and estimation in direc…