Name
Abstract | ||
|---|---|---|
We evaluate the infinite relational model (IRM) against two simpler alternative nonparametric Bayesian models for identifying structures in multi subject brain networks. The models are evaluated for their ability to predict new data and infer reproducible structures. Prediction and reproducibility are measured within the data driven NPAIRS split-half framework. Using synthetic data drawn from each of the generative models we show that the IRM model outperforms the two competing models when data contain relational structure. For data drawn from the other two simpler models the IRM does not overfit and obtains comparable reproducibility and predictability. For resting state functional magnetic resonance imaging data from 30 healthy controls the IRM model is also superior to the two simpler alternatives, suggesting that brain networks indeed exhibit universal complex relational structure in the population. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/MLSP.2012.6349739 | Machine Learning for Signal Processing |
Keywords | Field | DocType |
Bayes methods,brain,magnetic resonance imaging,medical image processing,neural nets,neurophysiology,IRM model,alternative nonparametric Bayesian models,complex brain networks,complex relational structure,data driven NPAIRS split-half framework,infinite relational model,modular relations identification,multi subject brain networks,reproducible structures,state functional magnetic resonance imaging data,synthetic data,Complex Networks,Infinite Relational Model,fMRI | Population,Data-driven,Pattern recognition,Computer science,Resting state fMRI,Synthetic data,Complex network,Artificial intelligence,Overfitting,Artificial neural network,Relational model,Machine learning | Conference |
ISSN | ISBN | Citations |
1551-2541 E-ISBN : 978-1-4673-1025-3 | 978-1-4673-1025-3 | 3 |
PageRank | References | Authors |
0.44 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kasper Winther Andersen | 1 | 9 | 1.58 |
| Morten Mørup | 2 | 704 | 51.29 |
| Hartwig Siebner | 3 | 31 | 3.39 |
| Kristoffer Hougaard Madsen | 4 | 145 | 18.74 |
| Lars Kai Hansen | 5 | 2776 | 341.03 |