PPT-Annealing Paths for the Evaluation of Topic Models

James Foulds Padhraic Smyth Department of Computer Science University of California Irvine James Foulds has recently moved to the University of California Santa Cruz Motivation Topic model extensions. a 1 b 2 a 2 b 3 a 3 b One thing I wish could be improved is You could improve this by Check the boxes of each statement that is TRUE The presentation grabs the audiences attention is atheistically pleasing appears to be well organized The presentati photodetachment. of anionic copper carbonyl clusters in argon matrices. Ryan M. Ludwig, Michael E. Goodrich, . David T. Moore. Chemistry Department, Lehigh University. 69. th. ISMS, Univ. Illinois Urbana-Champaign. By . Rohit. Ray. ESE 251 . The Problem. Most . minimization (maximization) strategies . work to find the nearest local minimum. Trapped at local . minimums (maxima). Standard strategy. Generate trial point based on current estimates. Graphical Model Inference. View observed data and unobserved properties as . random variables. Graphical Models: compact graph-based encoding of probability distributions (high dimensional, with complex dependencies). a multisurface complexation reactive transport model on field data. . Bert-Jan Groenenberg. 1. , Joris Dijkstra. 2. , . Rob . Comans. 2,3. 1. Alterra . Wageningen UR; . 2 . ECN; . . 3 . Wageningen University. Paths . derived. . from. . TIN-based. Digital . Elevation. . Models. Graduate. . student. :. Henrique . Rennó. de Azeredo Freitas. Advisors. :. Sergio Rosim. João Ricardo de Freitas Oliveira. Source: “Topic models”, David . Blei. , MLSS ‘09. Topic modeling - Motivation. Discover topics from a corpus . Model connections between topics . Model the evolution of topics over time . Image annotation. Padhraic Smyth. Department of Computer Science. University of California, Irvine . . Progress Report. New deadline. In class, Thursday February 18. th. (not Tuesday). Outline. 3 to 5 pages maximum. Daniel Paden Tomasello. Simulated Annealing Algorithm. An approximation algorithm used for global optimization. . In my model, simulated annealing is used to help a robot, which may only detect surrounding elevations, find the highest elevation. (Local Search). Rohit. Ray. ESE 251 . The Problem. Most . minimization (maximization) strategies . work to find the nearest local minimum. Trapped at local . minimums (maxima). Standard strategy. Generate trial point based on current estimates. Likelihood Methods in Ecology. Jan. 30 – Feb. 3, 2011. Rehovot. , Israel. Parameter Estimation. “The problem of . estimation. is of more central importance, (. than hypothesis testing. )... . for in almost all situations we know that the . OO. L 2. 0. 12 KY. O. T. O. Briefing & Report. By: Masayuki . Kouno. . (D1) & . Kourosh. . Meshgi. . (D1). Kyoto University, Graduate School of Informatics, Department of Systems Science. Ishii Lab (Integrated System Biology). OO. L 2. 0. 12 KY. O. T. O. Briefing & Report. By: Masayuki . Kouno. . (D1) & . Kourosh. . Meshgi. . (D1). Kyoto University, Graduate School of Informatics, Department of Systems Science. Ishii Lab (Integrated System Biology). Paul A. Kucera. , Barb G. Brown, . Christopher L. . Williams, and Louisa Nance. NCAR/Research Applications . Laboratory. 69. th. Interdepartmental Hurricane Conference. Jacksonville, FL. 03 March 2015.