relates to algorithms that are "trained" by some data set.

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73 views

How do I visualise the feature space partitioning in random forest?

I am learning about random forest and found this video https://www.youtube.com/watch?v=gdnIqGbqiYs&list=UUb9svouAi1XHRqlOs8LXbBg very useful. The first 8 minutes explain how to visualise how the ...
2
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28 views

How to use event weights in TMVA ROOT

I'm trying to train and perform classifiers from TMVA. My data set contains event weights besides event data. In the TMVA::Factory there's a method setWeightExpression to specify event weights. What ...
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0answers
40 views

How is the event model of multinomial naive bayes algorithm right

The event model of multinomial NB is this: P(x1, x2...Xm | y=k) = P(x1 | =k) * P(x2 | y=k) * ...* P(xm | y=k), where x is i'th word in the document. Then we apply it to bag of words model. P = P(x1 ...
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89 views

Neural network converges to 0.5 for XoR

I'm coding a neural network in C for an OCR project. Before testing with character recognition, I'm making it learn the XoR operation. Although, the results I'n getting always converges to 0.5 instead ...
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112 views

Algorithm to analyse and predict

I'm having a set of data's, say Question, Question's Main Category,Main Category followers, Question's Related Categories,Each Related Categories followers, Whether it got answer in 24hrs [Yes/No] ...
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67 views

Will this data mining approach work? Is it a good idea?

I need to extract fields like the document number, date, and invoice amount from a bunch of .csv files, which I believe are referred to as "unstructured text." I have some labeled input files and will ...