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Binary linear classification and feature selection via generalized approximate message passing.

, , and . CISS, page 1-6. IEEE, (2014)

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Learning Affects Strategic Processing on Raven's Advanced Progressive Matrices., , and . CogSci, cognitivesciencesociety.org, (2011)Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing., , and . IEEE Trans. Signal Process., 63 (8): 2020-2032 (2015)Binary linear classification and feature selection via generalized approximate message passing., , and . CISS, page 1-6. IEEE, (2014)A hierarchical Bayesian model of "memory for when" based on experience sampling data., , , , , and . CogSci, cognitivesciencesociety.org, (2017)Decomposing spatiotemporal brain patterns into topographic latent sources., , , and . NeuroImage, (2014)A neural network model of hippocampally mediated trace conditioning., and . ICNN, page 372-376. IEEE, (1997)The Successor Representation and Temporal Context., , , , and . Neural Comput., 24 (6): 1553-1568 (2012)PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data., , , , , and . Neuroinformatics, 7 (1): 37-53 (2009)DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales., , , and . NeurIPS, page 27530-27541. (2021)A deep convolutional neural network that is invariant to time rescaling., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 9729-9738. PMLR, (2022)