Algorithmic Learning in a Random World, 2005. ,
Comparing the Bayes and Typicalness Frameworks, Lecture Notes in Computer Science, vol.2167, pp.360-371, 2001. ,
DOI : 10.1007/3-540-44795-4_31
On-line predictive linear regression, The Annals of Statistics, vol.37, issue.3, pp.1566-1590, 2009. ,
DOI : 10.1214/08-AOS622
Hedging Predictions in Machine Learning: The Second Computer Journal Lecture, The Computer Journal, vol.50, issue.2, pp.151-172, 2007. ,
DOI : 10.1093/comjnl/bxl065
Reliable prediction intervals with regression neural networks, Neural Networks, vol.24, issue.8, pp.842-851, 2011. ,
DOI : 10.1016/j.neunet.2011.05.008
Regression Conformal Prediction with Nearest Neighbours, J. Artif. Intell. Res. (JAIR), vol.40, pp.815-840, 2011. ,
Reliable Probability Estimates Based on Support Vector Machines for Large Multiclass Datasets. Artificial Intelligence Applications and Innovations -AIAI International Workshops: AIAB, Proceedings. II. Halkidiki, Greece, pp.182-191, 2012. ,
On-Line Regression Competitive with Reproducing Kernel Hilbert Spaces ,
DOI : 10.1007/11750321_43
An Introduction to Support Vector Machines and other kernel-based learning methods, 2000. ,
DOI : 10.1017/CBO9780511801389
Alzheimer's Disease Neuroimaging Initiative. Ensemble sparce classification of Alzheimer's disease, Neuroimage, vol.60, pp.2012-1106 ,
Multimodal classification of Alzheimer's disease and mild cognitive impairment, NeuroImage, vol.55, issue.3, pp.856-867, 2011. ,
DOI : 10.1016/j.neuroimage.2011.01.008
Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature, NeuroImage, vol.53, issue.1, pp.1-15, 2010. ,
DOI : 10.1016/j.neuroimage.2010.06.010
Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data, BMC Neurology, vol.73, issue.4, pp.46-56, 2012. ,
DOI : 10.1212/WNL.0b013e3181af79e5
Alzheimer's Disease Neuroimaging Initiative . Clinical Core of the Alzheimer's Disease Neuroimaging Initiative: progress and plans, Alzheimers Dement, pp.239-246, 2010. ,
Genetics of Alzheimer???s Disease, Archives of Medical Research, vol.43, issue.8, pp.2012-622 ,
DOI : 10.1016/j.arcmed.2012.10.017
Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression, NeuroImage, vol.56, issue.2, pp.56-2011 ,
DOI : 10.1016/j.neuroimage.2010.05.023