Re: [DL-Learner discussion] dl-learner and noise

[Lorenz B. <spo...@st...>]

Hello Céline,

there is a noise parameter called "noisePercentage" for the learning 
algorithm CELOE, so you could simply define a noise value like 20%. This 
will allow to return solutions in which 20% of the positive examples are 
not covered by the solution.

Your conf file should be extended by the line:

alg.noisePercentage = "20"

Hope this helps.

Kind regards,
Lorenz

> Hello,
>
> I have an ontology describing 10000 films. I have built a conf file 
> with positive and negative examples for “American films”. I want to 
> learn that an American film “isFromCountry some _US”. When I run 
> DL-Learner, it works well. Now, if I add a little bit of noise 
> (changing one positive example into negative example and vice versa), 
> it does not work anymore. “isFromCountry some Country” is learned 
> (acc=42.86%). I have 10000 films, so this noise represents only 0.02% 
> of error.
> Is it possible to get the good definition with some noise in my 
> examples by running DL-Learner with some parameters I don’t know about 
> or does DL-Learner just not handle noise?
>
> Thanks in advance for your answer. I attached the files if you want to 
> make some tests. I use dllearner-1.0-beta-3 on Windows.
>
> Best regards,
> Céline
>
>
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