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From "Till Rohrmann (JIRA)" <j...@apache.org>
Subject [jira] [Created] (FLINK-1749) Add Boosting algorithm for ensemble learning to machine learning library
Date Thu, 19 Mar 2015 11:23:38 GMT
Till Rohrmann created FLINK-1749:
------------------------------------

             Summary: 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


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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