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Generalised Bayesian Matrix Factorisation Models Shakir Mohamed St…
https://mlg.eng.cam.ac.uk/pub/pdf/Moh11.pdf13 Feb 2023: a) RMSE on training data (b) RMSE on test data(c) NLP (shown on a log-scale to aid viewing). ... 1.1 The Ubiquitous Latent Variable. Models with latent variables hold a central role in in the analysis of data in a diverseset of research areas spanning -
~~~::'-"-~ ;~~ Cahiers de Psychologie Cognitive/~ Current…
https://mlg.eng.cam.ac.uk/zoubin/papers/KorGhaCPC.pdf27 Jan 2023: 16». When the distributionof the current sensory feedback (the middle factor in Eq. ... To test the effect of feedback on the ongoing movement, Korenbergand Ghahramani introduced a novel type of catch trial for. -
Journal of Machine Learning Research 10 (2009) 1187-1238 Submitted ...
https://mlg.eng.cam.ac.uk/pub/pdf/SilGha09.pdf13 Feb 2023: Y1. Y2 Y3. Figure 3: After marginalizing variablesH1 and H2 from the DAG on the left, one possible DMGrepresentation of the same dependencies is shown by the graph in the -
griffiths11a.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/GriGha11.pdf13 Feb 2023: Journal of Machine Learning Research 12 (2011) 1185-1224 Submitted 3/10; Revised 3/11; Published 4/11. The Indian Buffet Process: An Introduction and Review. Thomas L. Griffiths TOM GRIFFITHS@BERKELEY.EDUDepartment of PsychologyUniversity of
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