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Neural Computation|November 2, 2004
Canonical correlation analysis: an overview with application to learning methodsDavid R Hardoon, Sandor Szedmak, John Shawe-TaylorEntropy (Basel, Switzerland)|October 23, 2021
PAC-Bayes Unleashed: Generalisation Bounds with Unbounded LossesMaxime Haddouche, Benjamin Guedj, Omar Rivasplata, et al.Journal of Neuroscience Methods|June 30, 2016
A multiple hold-out framework for Sparse Partial Least SquaresJoão M Monteiro, Anil Rao, John Shawe-Taylor, et al.Bioinformatics (Oxford, England)|January 11, 2013
Decombinator: a tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machineNiclas Thomas, James Heather, Wilfred Ndifon, et al.Neuroimage|August 10, 2007
Unsupervised analysis of fMRI data using kernel canonical correlationDavid R Hardoon, Janaina Mourão-Miranda, Michael Brammer, et al.Plos One|August 20, 2015
Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares RegressionSonja Lehtinen, Jon Lees, Jürg Bähler, et al.Plos One|October 3, 2012
Directional migration of recirculating lymphocytes through lymph nodes via random walksNiclas Thomas, Lenka Matejovicova, Wichat Srikusalanukul, et al.Scientific Reports|October 14, 2015
Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcodingKatharine Best, Theres Oakes, James M Heather, et al.Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management|January 9, 2018
A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text AnnotationGaurav Singh, Iain J Marshall, James Thomas, et al.Neuroimage|October 26, 2010
Neural prediction of higher-order auditory sequence statisticsNicholas Furl, Sukhbinder Kumar, Kai Alter, et al.Pageof 7