Re: [Nmlrg] Machine Learning in network - solicitation for use cases

Sheng Jiang <jiangsheng@huawei.com> Sat, 19 September 2015 02:12 UTC

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From: Sheng Jiang <jiangsheng@huawei.com>
To: "Liubing (Leo)" <leo.liubing@huawei.com>, Sebastian Abt <sabt@sabt.net>
Thread-Topic: [Nmlrg] Machine Learning in network - solicitation for use cases
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Date: Sat, 19 Sep 2015 02:11:41 +0000
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References: <D20A251E.25E52%dacheng.zdc@alibaba-inc.com> <5D36713D8A4E7348A7E10DF7437A4B927BB2B192@nkgeml512-mbx.china.huawei.com> <D20B2C03.25EC7%dacheng.zdc@alibaba-inc.com> <5D36713D8A4E7348A7E10DF7437A4B927BB2D062@nkgeml512-mbx.china.huawei.com> <D211D160.26495%dacheng.zdc@alibaba-inc.com> <D211D7F2.2651C%dacheng.zdc@alibaba-inc.com> <5D36713D8A4E7348A7E10DF7437A4B927BB2D300@nkgeml512-mbx.china.huawei.com> <55EC9987.9030002@gmail.com> <5D36713D8A4E7348A7E10DF7437A4B927BB2D65D@nkgeml512-mbx.china.huawei.com> <55ED09ED.3090406@gmail.com> <5D36713D8A4E7348A7E10DF7437A4B927BB2DD75@nkgeml512-mbx.china.huawei.com> <8AE0F17B87264D4CAC7DE0AA6C406F45C227BE52@nkgeml506-mbx.china.huawei.com> <55EE6648.4040804@gmail.com> <8AE0F17B87264D4CAC7DE0AA6C406F45C227CF25@nkgeml506-mbx.china.huawei.com> <011F781F-9409-44D6-A006-C899A39053A1@sabt.net> <8AE0F17B87264D4CAC7DE0AA6C406F45C22A99F2@nkgeml506-mbx.china.huawei.com>
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Cc: "nmlrg@irtf.org" <nmlrg@irtf.org>, Dacheng Zhang <dacheng.zdc@alibaba-inc.com>
Subject: Re: [Nmlrg] Machine Learning in network - solicitation for use cases
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>[Bing] Indeed. The trick/art is in feature selection.

Not only the feature selection, the learning direction or path design are also important. It needs the implementors/designers to apply the specific prior knowledge to indicate/guide the mechanism learning process. The good design with valuable prior knowledge would enhance the efficiency and accuracy of the machine learning application. However, the more prior knowledge applied, the less generality it would be.

Sheng

>However, feature selection is basically made by man who understands both
>the application and the machine learning well. We were always wondering, is
>there any possibility that machine can select features by itself dynamically
>according to some general/universal methods.
>