Sciweavers

    129 search results - page 2 / 26
    » Graphical Models: Statistical inference vs. determination
    Sort
    View
    SIGMOD
    2012
    ACM
    212views Database» more  SIGMOD 2012»
    Local structure and determinism in probabilistic databases
    11 years 7 months ago
    Local structure and determinism in probabilistic databases
    Download  linqs.cs.umd.edu
    While extensive work has been done on evaluating queries over tuple-independent probabilistic databases, query evaluation over correlated data has received much less attention eve...
    Theodoros Rekatsinas, Amol Deshpande, Lise Getoor
    claim paper
    Read More »
    TIT
    2008
    118views more  TIT 2008»
    Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statisti
    13 years 3 months ago
    Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statisti
    Download  www.openu.ac.il
    Abstract--Discrete-input two-dimensional (2-D) Gaussian channels with memory represent an important class of systems, which appears extensively in communications and storage. In sp...
    Ori Shental, Noam Shental, Shlomo Shamai, Ido Kant...
    claim paper
    Read More »
    JMLR
    2008
    141views more  JMLR 2008»
    Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
    13 years 5 months ago
    Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
    Download  jmlr.csail.mit.edu
    In graphical modelling, a bi-directed graph encodes marginal independences among random variables that are identified with the vertices of the graph. We show how to transform a bi...
    Mathias Drton, Thomas S. Richardson
    claim paper
    Read More »
    JMLR
    2010
    134views more  JMLR 2010»
    Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
    13 years 6 days ago
    Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
    Download  parallel.vub.ac.be
    This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
    Jan Lemeire, Kris Steenhaut
    claim paper
    Read More »
    JMLR
    2012
    160views Programming Languages» more  JMLR 2012»
    Low rank continuous-space graphical models
    11 years 7 months ago
    Low rank continuous-space graphical models
    Download  www.stat.columbia.edu
    Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
    Carl Smith, Frank Wood, Liam Paninski
    claim paper
    Read More »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    International On-screen Keyboard Graphical Social Symbols OCR Text Recognition CSS3 Style Generator Web Page to PDF Web Page to Image PDF Split PDF Merge Latex Equation Editor Sci2ools
    Document Tools
    PDF to Text PDF to Postscript PDF to Thumbnails Excel to PDF Word to PDF Postscript to PDF PowerPoint to PDF Latex to Word Repair Corrupted PDF
    Image Tools
    JPG to PS JPG to PDF Extract Images from PDF Image Converter
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2024, USA.