flink-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "David E Drummond (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1749) Add Boosting algorithm for ensemble learning to machine learning library
Date Thu, 21 Apr 2016 23:43:12 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1749?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15253007#comment-15253007
] 

David E Drummond commented on FLINK-1749:
-----------------------------------------

Hi [~trohrmann@apache.org],

Are there any updates on this issue?  I am a full-time data engineer and I would enjoy contributing
to this.  In particular, I would like to start by working on the LogitBoost that you referred
to in reference [3], with the distributed approach discussed in [4].

> 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]



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Mime
View raw message