Results 291 to 300 of about 273,034 (301)
Some of the next articles are maybe not open access.
Latent feature networks for statistical relational learning
2018In this dissertation, I explored relational learning via latent variable models. Traditional machine learning algorithms cannot handle many learning problems where there is a need for modeling both relations and noise. Statistical relational learning approaches emerged to handle these applications by incorporating both relations and uncertainties in ...
openaire +1 more source
Latent factor models for statistical relational learning
2014To simplify modeling procedures, traditional statistical machine learning methods always assume that the instances are independent and identically distributed (i.i.d.). However, it is not uncommon for some real-world data, such as web pages and research papers, to contain relationships (links) between the instances. Different instances in such data are
openaire +2 more sources
Logic-based Formalisms for Statistical Relational Learning
2007This chapter provides a selective overview of logic-based approaches to statistical relational learning. Issues of representation, inference, and learning are addressed with an emphasis on representation. A distinction is drawn between “directed” representations with connections to Bayesian nets and “undirected” ones related to Markov nets.
openaire +2 more sources
Statistical relational learning with nonparametric Bayesian models
2007Statistical relational learning analyzes the probabilistic constraints between the entities, their attributes and relationships. It represents an area of growing interest in modern data mining. Many leading researches are proposed with promising results. However, there is no easily applicable recipe of how to turn a relational domain (e.g.
openaire +1 more source
Statistical learning from relational data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, 2003openaire +1 more source
Automatic Data Repairs with Statistical Relational Learning
2021 International Symposium on Networks, Computers and Communications (ISNCC), 2021Ling Li +4 more
openaire +1 more source
Statistical Relational AI: Representation, Inference and Learning
2021Guy Van den Broeck +3 more
openaire +1 more source