Difference between revisions of "MegaM: Maximum Entropy Model Optimization Package (Repository)"

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* '''Citation:''' If you use HBC in your research, please include the following citation in any resulting papers:  
 
* '''Citation:''' If you use HBC in your research, please include the following citation in any resulting papers:  
  
:: Daumé, H. (2008), MegaM: Maximum Entropy Model Optimization Package, ''ACL Data and Code Repository'', ADCR2008C003, http://aclweb.org/aclwiki.
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::* Daumé, H. (2008), MegaM: Maximum Entropy Model Optimization Package, ''ACL Data and Code Repository'', ADCR2008C003, http://aclweb.org/aclwiki.
  
 
* '''Description:''' Optimization software for maximum entropy models, uses conjugate gradient for binary/binomial problems and LM-BFGS for multiclass problems.  Written in O'Caml.
 
* '''Description:''' Optimization software for maximum entropy models, uses conjugate gradient for binary/binomial problems and LM-BFGS for multiclass problems.  Written in O'Caml.
  
* '''Download''': [http://aclweb.org/aclwiki/index.php?title=Image:Megam.tar.gz Megam.tar.gz]
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* '''Download''': [http://aclweb.org/aclwiki/index.php?title=Image:MegaM_5B.tar.gz MegaM_5B.tar.gz] - MegaM version 5B
  
  
 
[[Category:Data and code repository|MegaM: Maximum Entropy Model Optimization Package]]
 
[[Category:Data and code repository|MegaM: Maximum Entropy Model Optimization Package]]

Latest revision as of 14:38, 11 June 2008

  • ADCR ID: ADCR2008C003
  • Name of Software: MegaM: Maximum Entropy Model Optimization Package
  • Copyright: (c) 2003, Hal Daumé III.
  • Licensing: Released to the public domain under the laws of the United States.
  • Citation: If you use HBC in your research, please include the following citation in any resulting papers:
  • Daumé, H. (2008), MegaM: Maximum Entropy Model Optimization Package, ACL Data and Code Repository, ADCR2008C003, http://aclweb.org/aclwiki.
  • Description: Optimization software for maximum entropy models, uses conjugate gradient for binary/binomial problems and LM-BFGS for multiclass problems. Written in O'Caml.