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

, , и . CISS, стр. 1-6. IEEE, (2014)

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Per Segebrecht

Per Davidsson

Per Zemke

Per Nerdinger

Per Stickforth

 

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Learning Affects Strategic Processing on Raven's Advanced Progressive Matrices., , и . CogSci, cognitivesciencesociety.org, (2011)Binary linear classification and feature selection via generalized approximate message passing., , и . CISS, стр. 1-6. IEEE, (2014)A hierarchical Bayesian model of "memory for when" based on experience sampling data., , , , , и . CogSci, cognitivesciencesociety.org, (2017)A neural network model of hippocampally mediated trace conditioning., и . ICNN, стр. 372-376. IEEE, (1997)DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales., , , и . NeurIPS, стр. 27530-27541. (2021)A Bayesian framework for simultaneously modeling neural and behavioral data., , , , , и . NeuroImage, (2013)A Bayesian Analysis of Dynamics in Free Recall., , , , , и . NIPS, стр. 1714-1722. Curran Associates, Inc., (2009)Representing Latent Dimensions Using Compressed Number Lines., , , , , , и . IJCNN, стр. 1-10. IEEE, (2023)A deep convolutional neural network that is invariant to time rescaling., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 9729-9738. PMLR, (2022)Estimating Scale-Invariant Future in Continuous Time., , , и . Neural Comput., (2019)