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Dynamic topic model / Latent Dirichlet allocation / Concentration parameter / Dirichlet process / Mixture model / Topic model / Hidden Markov model / Normal distribution / Dirichlet distribution / Statistics / Statistical natural language processing / Probability and statistics


Timeline: A Dynamic Hierarchical Dirichlet Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream Amr Ahmed [removed] School of Computer Science
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Document Date: 2010-09-07 21:32:14


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File Size: 2,36 MB

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Company

M-H / Laplace / Linear Dynamical Systems / M.F.J. Steel / /

Country

Jordan / /

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Facility

Computer Science Carnegie Mellon University / University of Toronto / /

IndustryTerm

online journal articles / node probability field tree level energy probability node / gradient matrix weight algorithms / level probability field distribution structure graph energy variables / field code temperature tree boltzmann energy / tree level energy probability node annealing boltzmann variables / summarization systems / regression vapnik feature solution / tree probability field structure node distribution energy / closed form solution / svm support regression solution / metropolis-hastings algorithm / gradient convergence equation algorithms / method solution energy / algorithms path search / potential weak instance search committee / power law distribution / visualization tool / loss algorithms / /

Organization

National Science Foundation / American Statistical Association / Department of Computer Science / Department of Statistics / Carnegie Mellon University / School of Computer Science Carnegie Mellon University Abstract Topic / University of Toronto / /

Person

Tanizaki / Ahmed / X. Zhu Z. Ghahramani / Eric P. Xing / J. Lafferty / /

Position

missing experts gaussian parameters density Clustering Methods Control Control PM / model / /

Product

Pentax K-x Digital Camera / iDTM / /

PublishedMedium

Journal of Machine Learning Research / the NIPS proceedings / Journal of the American Statistical Association / /

Technology

Neuroscience / metropolis-hastings algorithm / gradient convergence equation algorithms / convergence equation algorithms Probabilistic Models gradient matrix weight algorithms / Machine Learning / Simulation / 1995 boosting 1999 loss algorithms / Gibbs sampling algorithm / /

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