On the Relationship between Sum-Product Networks and Bayesian Networks by Han Zhao

Source URL: cs.uwaterloo.ca

On the Relationship between Sum-Product Networks and Bayesian Networks Han Zhao HAN . ZHAO @ UWATERLOO . CA Mazen Melibari MMELIBAR @ UWATERLOO . CA

Source URL: proceedings.mlr.press

On the Relationship between Sum-Product Networks and Bayesian Networks Han Zhao HAN . ZHAO @ UWATERLOO . CA Mazen Melibari MMELIBAR @ UWATERLOO . CA

Source URL: cs.uwaterloo.ca

Tianjin University Submission at THUMOS Challenge 2015 Yanbin Liu† Baixiang Fan† Shichao Zhao† Youjiang Xu† Yahong Han†§

Source URL: storage.googleapis.com

Collapsed Variational Inference for Sum-Product Networks Han Zhao† HAN . ZHAO @ CS . CMU . EDU Tameem Adel§ T.M.A.A.H ESHAM @ UVA . NL Geoff Gordon†

Source URL: www.cs.cmu.edu

P191 Bayesian Linearized AVAZ Inversion in HTI Fractured Media L. Zhao* (University of Houston), J. Geng (Tongji University), D. Han (University of Houston) & M. Nasser (Maersk Oil Houston Inc.)

Source URL: www.rpl.uh.edu

I010 Geophysical Pore Type Characterization from Seismic Data in Carbonate Reservoir L. Zhao* (University of Houston), M. Nasser (Maersk Oil Houston Inc.) & D. Han (University of Houston)

Source URL: www.rpl.uh.edu

D025 Petrophysical Characterization of Pore Type in Tight Gas Carbonates of Southwestern China L. Zhao* (University of Houston), J. Geng (Tongji University) & D. Han (University of Houston)

Source URL: www.rpl.uh.edu

• Porous media
• Soil mechanics
• Aquifers
• Petroleum geology
• Hydrology
• Petrophysics
• Porosity
• Porous medium
• Well logging
• Permeability
• Petroleum reservoir
• Tight gas

SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering Han Zhao† , Pascal Poupart† , Yongfeng Zhang§ and Martin Lysy‡ † David R. Cheriton School of Computer Science, University of Waterloo, Canada D

Source URL: yongfeng.me

• Multivariate statistics
• Linear algebra
• Matrix theory
• Non-negative matrix factorization
• Cluster analysis
• Spectral clustering
• K-means clustering
• Document clustering
• Pattern recognition
• Expectationmaximization algorithm
• Determining the number of clusters in a data set
• Hierarchical clustering

On the Relationship between Sum-Product Networks and Bayesian Networks Han Zhao HAN . ZHAO @ UWATERLOO . CA Mazen Melibari MMELIBAR @ UWATERLOO . CA

Source URL: jmlr.org

• Graphical models
• Statistical models
• Probability theory
• Bayesian network
• Networks
• Variable elimination
• Markov random field