UAI[removed]ASUNCION ET AL. 27

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Date: 2012-05-13 20:03:54 Variational Bayesian methods Latent Dirichlet allocation Expectation–maximization algorithm Dirichlet distribution Bayesian inference Probabilistic latent semantic analysis Hyperparameter Statistics Bayesian statistics Statistical natural language processing		UAI[removed]ASUNCION ET AL. 27 Add to Reading List Source URL: arxiv.org Download Document from Source Website File Size: 147,33 KB Share Document on Facebook

	A Bayesian model for identifying hierarchically organised states in neural population activity Patrick Putzky1,2,3 , Florian Franzen1,2,3 , Giacomo Bassetto1,3 , Jakob H. Macke1,3 1 Max Planck Institute for Biological Cy DocID: 1rs52 - View Document
	Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit DocID: 1rrEx - View Document
	That was fast! Speeding up NN search of high dimensional distributions. Emanuele Coviello University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093 DocID: 1rox3 - View Document
	Supplement for: A Bayesian model for identifying hierarchically organised states in neural population activity Patrick Putzky1,2,3 , Florian Franzen1,2,3 , Giacomo Bassetto1,3 , Jakob H. Macke1,3 1 Max Planck Institute f DocID: 1r29k - View Document
	Technical supplement to “Consistent probabilistic outputs for protein function prediction” Guillaume Obozinski Department of Statistics UC Berkeley Berkeley, CA, USA DocID: 1qWuK - View Document