Back to Results
First PageMeta Content
Distribution / Lie algebras / Proof theory / Root system / Locally convex topological vector space / Mathematical analysis / Functional analysis / Constructible universe


Accelerated Training of Max-Margin Markov Networks with Kernels Xinhua Zhang1 , Ankan Saha2 , and S.V.N. Vishwanathan3 1 Department of Computing Science, University of Alberta, Edmonton, Canada
Add to Reading List

Document Date: 2011-08-23 10:07:10


Open Document

File Size: 257,99 KB

Share Result on Facebook

Company

Lg / Max-Margin Markov Networks / Training Max-Margin Markov Networks / /

/

Facility

University of Alberta / Purdue University / University of Chicago / /

IndustryTerm

resulting algorithm / approximate algorithms / dynamic programming algorithms / primal algorithm / different algorithms / gap algorithm / lower solution / optimization algorithms / excessive gap reduction algorithm / efficient algorithms / /

Organization

University of Alberta / Department of Computing Science / Department of Computer Science / Purdue University / University of Chicago / Chicago / Department of Statistics and Computer Science / /

Technology

Our algorithm / excessive gap reduction algorithm / 297 Algorithm / machine learning / resulting algorithm / dynamic programming algorithms / large / approximate algorithms / efficient algorithms / primal algorithm / different algorithms / gap algorithm / dual algorithm / optimization algorithms / /

SocialTag