The 10th annual MLSP competition: First place

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Volumn , Issue , 2014, Pages

  Solin, Arno ^a   Särkkä, Simo ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Gaussian process classification; magnetic resonance imaging; Schizophrenia

Indexed keywords

DISEASES; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); MAGNETIC RESONANCE IMAGING;

BAYESIAN; BRAIN SCAN; GAUSSIAN PROCESS; GAUSSIAN PROCESS CLASSIFICATIONS; MULTIMODAL FEATURES; SCHIZOPHRENIA;

MACHINE LEARNING;

EID: 84912544665     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2014.6958886     Document Type: Conference Paper

References (12)

1. "MLSP 2014 Schizophrenia classification challenge," Online: https://www.kaggle.com/c/mlsp-2014-mri, 2014, Competition chairs Rogers F. Silva and Vince D. Calhoun.
2. Carl Edward Rasmussen and Christopher K. I. Williams, Gaussian Processes for Machine Learning, The MIT Press, 2006.
3. Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen, Pasi Jylänki, Ville Tolvanen, and Aki Vehtari, "GPstuff: Bayesian modeling with Gaussian processes," Journal of Machine Learning Research, vol. 14, no. 1, pp. 1175-1179, 2013.
4. Elena A. Allen, Eswar Damaraju, Sergey M. Plis, Erik B. Erhardt, Tom Eichele, and Vince D. Calhoun, "Tracking wholebrain connectivity dynamics in the resting state," Cerebral Cortex, pp. 663-676, 2012.
5. Judith M. Segall, Elena A. Allen, Rex E. Jung, Erik B. Erhardt, Sunil Kumar Arja, Kent A. Kiehl, and Vince D. Calhoun, "Correspondence between structure and function in the human brain at rest," Frontiers in Neuroinformatics, vol. 6, no. 10, 2012.
6. Mustafa S. Ç etin, Fletcher Christensen, Christopher C. Abbott, Julia M. Stephen, Andrew R. Mayer, José M. Cañive, Juan R. Bustillo, Godfrey D. Pearlson, and Vince D. Calhoun, "Thalamus and posterior temporal lobe show greater inter-network connectivity at rest and across varying sensory loads in schizophrenia," NeuroImage, vol. 97, pp. 117-126, 2014.
7. Simo Särkkä, Arno Solin, Aapo Nummenmaa, Aki Vehtari, Toni Auranen, Simo Vanni, and Fa-Hsuan Lin, "Dynamical retrospective filtering of physiological noise in BOLD fMRI: DRIFTER," NeuroImage, vol. 60, no. 2, pp. 1517-1527, 2012.
8. Simo Särkkä, Arno Solin, and Jouni Hartikainen, "Spatiotemporal learning via infinite-dimensional Bayesian filtering and smoothing," IEEE Signal Processing Magazine, vol. 30, no. 4, pp. 51-61, 2013.
9. Arno Solin and Simo Särkkä, "Infinite-dimensional Bayesian filtering for detection of quasiperiodic phenomena in spatiotemporal data," Physical Review E, vol. 88, pp. 052909, 2013.
10. Iain Murray, Ryan P. Adams, and David Mackay, "Elliptical slice sampling," in International Conference on Artificial Intelligence and Statistics, 2010, pp. 541-548.
11. Iain Murray and Ryan P. Adams, "Slice sampling covariance hyperparameters of latent Gaussian models," in Advances in Neural Information Processing Systems, 2010, pp. 1732-1740.
12. Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen, Pasi Jylänki, Ville Tolvanen, and Aki Vehtari, Bayesian Modeling with Gaussian Processes Using the GPstuff Toolbox, 2012, arXiv preprint arXiv:1206.5754.