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From "Janardhan (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SYSTEMML-1938) Regularized Greedy Forest (RGF) Implementation
Date Tue, 26 Sep 2017 13:49:00 GMT

     [ https://issues.apache.org/jira/browse/SYSTEMML-1938?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Janardhan updated SYSTEMML-1938:
--------------------------------
    Description: 
RGF is a machine learning method for building decision forests. Based on
1. Learning Nonlinear Functions UsingRegularized Greedy Forest - https://arxiv.org/pdf/1109.0887.pdf
2. Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost - https://arxiv.org/ftp/arxiv/papers/1203/1203.3491.pdf
3. A general boosting method and its application to learning ranking functions for web search
- https://papers.nips.cc/paper/3305-a-general-boosting-method-and-its-application-to-learning-ranking-functions-for-web-search.pdf

A C++ implementation is at https://github.com/baidu/fast_rgf

  was:
RGF is a machine learning method for building decision forests. Based on Learning Nonlinear
Functions Using
Regularized Greedy Forest https://arxiv.org/pdf/1109.0887.pdf

A C++ implementation is at https://github.com/baidu/fast_rgf


> Regularized Greedy Forest (RGF) Implementation
> ----------------------------------------------
>
>                 Key: SYSTEMML-1938
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1938
>             Project: SystemML
>          Issue Type: New Feature
>          Components: Algorithms
>            Reporter: Janardhan
>            Priority: Minor
>
> RGF is a machine learning method for building decision forests. Based on
> 1. Learning Nonlinear Functions UsingRegularized Greedy Forest - https://arxiv.org/pdf/1109.0887.pdf
> 2. Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost - https://arxiv.org/ftp/arxiv/papers/1203/1203.3491.pdf
> 3. A general boosting method and its application to learning ranking functions for web
search - https://papers.nips.cc/paper/3305-a-general-boosting-method-and-its-application-to-learning-ranking-functions-for-web-search.pdf
> A C++ implementation is at https://github.com/baidu/fast_rgf



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