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The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data Julia E. Vogt Computer Science Department, University of Basel, Basel, Switzerland Sandhya Prabhakaran
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Document Date: 2010-06-28 10:55:02

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Zurich / Haifa / Baltimore / Basel / /

Company

Johns Hopkins University Press / Actinomycetales / Neal / Stephens / /

Country

Jordan / United States / Israel / /

Facility

University of Basel / Texas A&M University / Prentice Hall / /

IndustryTerm

pre-processing procedure / dot products / cleanest solution / inference algorithm / explicit dot-product / proposed sampling algorithm / sampling algorithm / random projection algorithm / /

MusicGroup

D12 / /

Organization

Computer Science / ETH Zurich & Competence Center for Systems Physiology and Metabolic Diseases / University of Basel / The Johns Hopkins University / Switzerland Sandhya Prabhakaran Computer Science Department / Clustering Distance Data Julia E. Vogt Computer Science Department / Texas A&M University / European Union / Ecole d’Ete de Probabilites de Saint / CH Department of Computer Science / Switzerland Volker Roth Computer Science Department / /

Person

Van Loan / Volker Roth / Sbb / Julia E. Vogt / Thomas J. Fuchs / /

Position

author / representative / inverse matrix Wb / flexible probabilistic model for clustering dissimilarity data / Wb / 1ta Wa Dab Wb / /

ProgrammingLanguage

C++ / /

PublishedMedium

Machine Learning / Theoretical Computer Science / /

Technology

R. Algorithms / random projection algorithm / proposed sampling algorithm / inference algorithm / Machine Learning / Simulation / /

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