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

[Sheng Jiang <[e-mail]>]

>-----Original Message-----
>From: Liubing (Leo)
>Sent: Saturday, September 19, 2015 2:00 PM
>To: Sheng Jiang; Sebastian Abt
>Cc: Brian E Carpenter; Dacheng Zhang; [e-mail]
>Subject: RE: [Nmlrg] Machine Learning in network - solicitation for use cases
>
>Hi Sheng,
>
>> -----Original Message-----
>> From: Sheng Jiang
>> Sent: Saturday, September 19, 2015 10:12 AM
>> To: Liubing (Leo); Sebastian Abt
>> Cc: Brian E Carpenter; Dacheng Zhang; [e-mail]
>> Subject: RE: [Nmlrg] Machine Learning in network - solicitation for use
>cases
>>
>> >[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.
>
>[Bing] For " learning direction or path design ", did you mean this: one
>application could be divided into multiple parts or stages, each part/stage
>might involve different learning models/algorithms (or maybe the same
>learning models/algorithm but for different features at each stage). Then the
>"learning direction or path" is about how to separate the stages and choose
>what models/algorithms. It indeed needs more human wise involved.

Your understanding is partially what I meant. I actually meant all the designed processes of the analysis mechanism that utilities machine learning mechanism. It includes selecting and designing the intermediate pattern/feature/learning objects, selecting and combining multiple learning models/algorithms together, and maybe combining machine learning mechanism with some tradition if-else programming, or even the interacting between machine learning and human, etc.

Regards,

Sheng

>And I
>guess maybe it is more practical in real application?
>
>B.R.
>Bing
>
>> Sheng