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From "Till Rohrmann (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (FLINK-1749) Add Boosting algorithm for ensemble learning to machine learning library
Date Thu, 30 Apr 2015 08:24:07 GMT

     [ https://issues.apache.org/jira/browse/FLINK-1749?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Till Rohrmann updated FLINK-1749:
---------------------------------
    Assignee: narayana reddy

> Add Boosting algorithm for ensemble learning to machine learning library
> ------------------------------------------------------------------------
>
>                 Key: FLINK-1749
>                 URL: https://issues.apache.org/jira/browse/FLINK-1749
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Till Rohrmann
>            Assignee: narayana reddy
>              Labels: ML
>
> Boosting [1] can help to create strong learners from an ensemble of weak learners and
thus improving its performance. Widely used boosting algorithms are AdaBoost [2] and LogitBoost
[3]. The work of I. Palit and C. K. Reddy [4] investigates how boosting can be efficiently
realised in a distributed setting. 
> Resources:
> [1] [http://en.wikipedia.org/wiki/Boosting_%28machine_learning%29]
> [2] [http://en.wikipedia.org/wiki/AdaBoost]
> [3] [http://en.wikipedia.org/wiki/LogitBoost]
> [4] [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6035709]



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