Name
Abstract | ||
|---|---|---|
We aim at finding the comorbidity patterns of substance abuse, mood and personality disorders using the diagnoses from the National Epidemiologic Survey on Alcohol and Related Conditions database. To this end, we propose a novel Bayesian nonparametric latent feature model for categorical observations, based on the Indian buffet process, in which the latent variables can take values between 0 and 1... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1162/NECO_a_00805 | Neural Computation |
Field | DocType | Volume |
Markov chain Monte Carlo,Inference,Categorical variable,Psychology,Latent variable,Feature model,Artificial intelligence,Psychiatry,Expectation propagation,Personality disorders,Machine learning,Bayes' theorem | Journal | 28 |
Issue | ISSN | Citations |
2 | 0899-7667 | 0 |
PageRank | References | Authors |
0.34 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Isabel Valera | 1 | 196 | 17.95 |
| Francisco J. R. Ruiz | 2 | 7 | 2.18 |
| Pablo M. Olmos | 3 | 114 | 18.97 |
| Carlos Blanco | 4 | 11 | 1.55 |
| Fernando Pérez-Cruz | 5 | 749 | 61.24 |