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pattern analysis.","author":"J Shawe-Taylor","year":"2004"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1016\/S1053-8119(03)00202-7","article-title":"Dynamic causal modelling.","volume":"19","author":"KJ Friston","year":"2003","journal-title":"NeuroImage"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1016\/j.neuroimage.2008.04.262","article-title":"Nonlinear dynamic causal models for fMRI.","volume":"42","author":"KE Stephan","year":"2008","journal-title":"NeuroImage"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1093\/schbul\/sbn176","article-title":"Dysconnection in schizophrenia: From abnormal synaptic plasticity to failures of self-monitoring.","volume":"35","author":"KE Stephan","year":"2009","journal-title":"Schizophr Bull"},{"key":"ref48","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1038\/nrn1629","article-title":"Is mood chemistry?","volume":"6","author":"E Castren","year":"2005","journal-title":"Nat Rev Neurosci"},{"key":"ref49","doi-asserted-by":"crossref","first-page":"3210","DOI":"10.1523\/JNEUROSCI.4458-09.2010","article-title":"Striatal prediction error modulates cortical coupling.","volume":"30","author":"HEM den Ouden","year":"2010","journal-title":"J Neurosci"},{"key":"ref50","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1109\/72.914517","article-title":"An introduction to kernel-based learning algorithms.","volume":"12","author":"KR M\u00fcller","year":"2001","journal-title":"IEEE Trans Neural Netw"},{"key":"ref51","article-title":"Learning with kernels: Support vector machines, regularization, optimization, and beyond.","author":"B Sch\u00f6lkopf","year":"2002"},{"key":"ref52","article-title":"Convolution kernels on discrete structures.","author":"D Haussler","year":"1999"},{"key":"ref53","first-page":"487","article-title":"Exploiting generative models in discriminative classifiers.","author":"TS Jaakkola","year":"1999"},{"key":"ref54","doi-asserted-by":"crossref","first-page":"2281","DOI":"10.1016\/S0031-3203(04)00162-1","article-title":"Similarity-based classification of sequences using hidden Markov models.","volume":"37","author":"M Bicego","year":"2004","journal-title":"Pattern Recognit"},{"key":"ref55","first-page":"844","article-title":"Probability product kernels.","volume":"5","author":"T Jebara","year":"2004","journal-title":"J Mach Learn Res"},{"key":"ref56","first-page":"136","article-title":"Hilbertian metrics and positive definite kernels on probability measures.","volume":"10","author":"M Hein","year":"2004","journal-title":"Proc AI Statistics"},{"key":"ref57","first-page":"1169","article-title":"Semigroup kernels on measures.","volume":"6","author":"M Cuturi","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref58","first-page":"517","article-title":"Scene classification via pLSA.","volume":"4","author":"A Bosch","year":"2006","journal-title":"Proc ECCV"},{"key":"ref59","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TPAMI.2007.70716","article-title":"Scene classification using a hybrid generative\/discriminative approach.","volume":"30","author":"A Bosch","year":"2008","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref60","doi-asserted-by":"crossref","first-page":"2637","DOI":"10.1016\/j.patcog.2009.03.023","article-title":"Component-based discriminative classification for hidden Markov models.","volume":"42","author":"M Bicego","year":"2009","journal-title":"Pattern Recognit"},{"key":"ref61","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1016\/j.neuroimage.2010.04.036","article-title":"Model-based feature construction for multivariate decoding.","volume":"56","author":"KH Brodersen","year":"2011","journal-title":"NeuroImage"},{"key":"ref62","first-page":"297","article-title":"Data-dependent kernels in SVM classification of speech patterns.","author":"N Smith","year":"2000"},{"key":"ref63","first-page":"136","article-title":"Combining generative models and fisher kernels for object recognition.","author":"AD Holub","year":"2005"},{"key":"ref64","first-page":"149","article-title":"Using the Fisher kernel method to detect remote protein homologies.","author":"T Jaakkola","year":"1999"},{"key":"ref65","first-page":"466","article-title":"Clustering-based construction of hidden Markov models for generative kernels.","author":"M Bicego","year":"2009"},{"key":"ref66","first-page":"914","article-title":"Learning the similarity of documents: An information-geometric approach to document retrieval and categorization.","author":"T Hofmann","year":"2000"},{"key":"ref67","article-title":"Discriminative models, not discriminative training. Microsoft Research.","author":"T Minka","year":"2005"},{"key":"ref68","first-page":"87","article-title":"Principled hybrids of generative and discriminative models.","author":"JA Lasserre","year":"2006"},{"key":"ref69","first-page":"2058","article-title":"A hybrid generative\/discriminative classification framework based on free-energy terms.","author":"A Perina","year":"2010"},{"key":"ref70","first-page":"463","article-title":"Information theoretical kernels for generative embeddings based on Hidden Markov Models.","author":"A Martins","year":"2010"},{"key":"ref71","doi-asserted-by":"crossref","first-page":"13209","DOI":"10.1523\/JNEUROSCI.2903-08.2008","article-title":"The cortical dynamics of intelligible speech.","volume":"28","author":"AP Leff","year":"2008","journal-title":"J Neurosci"},{"key":"ref72","first-page":"144","article-title":"A training algorithm for optimal margin classifiers.","author":"BE Boser","year":"1992"},{"key":"ref73","doi-asserted-by":"crossref","first-page":"e1000173","DOI":"10.1371\/journal.pcbi.1000173","article-title":"Support Vector Machines and Kernels for Computational Biology.","volume":"4","author":"A Ben-Hur","year":"2008","journal-title":"PLoS Comput Biol"},{"key":"ref74","doi-asserted-by":"crossref","first-page":"2109","DOI":"10.1214\/08-AOS659","article-title":"Some sharp performance bounds for least squares regression with L1 regularization.","volume":"37","author":"T Zhang","year":"2009","journal-title":"Ann Stat"},{"key":"ref75","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1016\/j.sigpro.2007.08.015","article-title":"A bilinear formulation for vector sparsity optimization.","volume":"88","author":"D Peleg","year":"2008","journal-title":"Signal Process"},{"key":"ref76","first-page":"415","article-title":"Functions of positive and negative type, and their connection with the theory of integral equations.","volume":"209","author":"J Mercer","year":"1909","journal-title":"Proc R Soc Lond A Math Phys Sci"},{"key":"ref77","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1016\/j.neuroimage.2005.10.045","article-title":"Dynamic causal modeling of evoked responses in EEG and MEG.","volume":"30","author":"O David","year":"2006","journal-title":"NeuroImage"},{"key":"ref78","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1016\/j.neuroimage.2008.09.048","article-title":"Dynamic causal models of steady-state responses.","volume":"44","author":"RJ Moran","year":"2009","journal-title":"NeuroImage"},{"key":"ref79","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.1016\/j.neuroimage.2008.03.026","article-title":"Dynamic causal modelling of induced responses.","volume":"41","author":"CC Chen","year":"2008","journal-title":"NeuroImage"},{"key":"ref80","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1016\/j.neuroimage.2009.04.062","article-title":"Dynamic causal modelling of distributed electromagnetic responses.","volume":"47","author":"J Daunizeau","year":"2009","journal-title":"NeuroImage"},{"key":"ref81","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1016\/j.neuroimage.2004.11.017","article-title":"Mapping directed influence over the brain using Granger causality and fMRI.","volume":"25","author":"A Roebroeck","year":"2005","journal-title":"NeuroImage"},{"key":"ref82","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1007\/s12038-007-0012-5","article-title":"Dynamic causal models of neural system dynamics: Current state and future extensions.","volume":"32","author":"KE Stephan","year":"2007","journal-title":"J Biosci"},{"key":"ref83","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.neuroimage.2007.07.040","article-title":"Comparing hemodynamic models with DCM.","volume":"38","author":"KE Stephan","year":"2007","journal-title":"NeuroImage"},{"key":"ref84","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1016\/j.neuroimage.2005.12.055","article-title":"Dynamic causal modelling of evoked responses in EEG\/MEG with lead field parameterization.","volume":"30","author":"SJ Kiebel","year":"2006","journal-title":"NeuroImage"},{"key":"ref85","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1006\/nimg.2001.1044","article-title":"Bayesian estimation of dynamical systems: An application to fMRI.","volume":"16","author":"KJ Friston","year":"2002","journal-title":"NeuroImage"},{"key":"ref86","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.neuroimage.2006.08.035","article-title":"Variational free energy and the Laplace approximation.","volume":"34","author":"K Friston","year":"2007","journal-title":"NeuroImage"},{"key":"ref87","doi-asserted-by":"crossref","first-page":"3099","DOI":"10.1016\/j.neuroimage.2009.11.015","article-title":"Ten simple rules for dynamic causal modeling.","volume":"49","author":"K Stephan","year":"2010","journal-title":"NeuroImage"},{"key":"ref88","doi-asserted-by":"crossref","first-page":"1004","DOI":"10.1016\/j.neuroimage.2009.03.025","article-title":"Bayesian model selection for group studies.","volume":"46","author":"KE Stephan","year":"2009","journal-title":"NeuroImage"},{"key":"ref89","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1016\/j.neuroimage.2004.03.026","article-title":"Comparing dynamic causal models.","volume":"22","author":"WD Penny","year":"2004","journal-title":"NeuroImage"},{"key":"ref90","first-page":"111","article-title":"Cross-validatory choice and assessment of statistical predictions.","author":"M Stone","year":"1974"},{"key":"ref91","first-page":"2079","article-title":"On over-fitting in model selection and subsequent selection bias in performance evaluation.","volume":"11","author":"GC Cawley","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref92","first-page":"3121","article-title":"The balanced accuracy and its posterior distribution.","author":"KH Brodersen","year":"2010"},{"key":"ref93","article-title":"Comprehensive Aphasia Test.","author":"K Swinburn","year":"2004"},{"key":"ref94","doi-asserted-by":"crossref","first-page":"111","DOI":"10.2307\/271063","article-title":"Bayesian model selection in social research.","volume":"25","author":"AE Raftery","year":"1995","journal-title":"Sociol Methodol"},{"key":"ref95","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.neuroimage.2004.08.055","article-title":"Mixed-effects and fMRI studies.","volume":"24","author":"KJ Friston","year":"2005","journal-title":"NeuroImage"},{"key":"ref96","first-page":"507","article-title":"Frequency Distribution of the Values of the Correlation Coefficient in Samples from an Indefinitely Large Population.","volume":"10","author":"RA Fisher","year":"1915","journal-title":"Biometrika"},{"key":"ref97","first-page":"4263","article-title":"The binormal assumption on precision-recall curves.","author":"KH Brodersen","year":"2010"},{"key":"ref98","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1038\/nrn893","article-title":"The anatomical basis of functional localization in the cortex.","volume":"3","author":"RE Passingham","year":"2002","journal-title":"Nat Rev Neurosci"},{"key":"ref99","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316849.ch6","article-title":"Kernel density estimators.","author":"DW Scott","year":"1992"},{"key":"ref100","doi-asserted-by":"crossref","first-page":"3512","DOI":"10.1523\/JNEUROSCI.4766-06.2007","article-title":"Interhemispheric integration of visual processing during task-driven lateralization.","volume":"27","author":"KE Stephan","year":"2007","journal-title":"J 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brain images.","author":"CE Thomaz","year":"2004"},{"key":"ref105","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1162\/neco.1992.4.3.415","article-title":"Bayesian interpolation.","volume":"4","author":"DJC MacKay","year":"1992","journal-title":"Neural Comput"},{"key":"ref106","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1016\/j.neuroimage.2009.08.038","article-title":"Cingulate activity and fronto-temporal connectivity in people with prodromal signs of psychosis.","volume":"49","author":"P Allen","year":"2010","journal-title":"NeuroImage"},{"key":"ref107","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1016\/j.neurobiolaging.2006.11.010","article-title":"Detection of prodromal Alzheimer&apos;s disease via pattern classification of magnetic resonance imaging.","volume":"29","author":"C Davatzikos","year":"2008","journal-title":"Neurobiol Aging"},{"key":"ref108","doi-asserted-by":"crossref","first-page":"1220","DOI":"10.1016\/j.neuroimage.2008.03.050","article-title":"Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI.","volume":"41","author":"C Davatzikos","year":"2008","journal-title":"NeuroImage"},{"key":"ref109","doi-asserted-by":"crossref","first-page":"1415","DOI":"10.1016\/j.neuroimage.2008.10.031","article-title":"Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI.","volume":"44","author":"C Misra","year":"2009","journal-title":"NeuroImage"},{"key":"ref110","doi-asserted-by":"crossref","first-page":"1153","DOI":"10.1016\/j.neuroimage.2009.10.014","article-title":"Distinct pattern of brain structural deficits in subsyndromes of schizophrenia delineated by psychopathology.","volume":"49","author":"I Nenadic","year":"2010","journal-title":"NeuroImage"}],"container-title":["PLoS 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