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Recently I came across a online tool, which given a summation calculates its formula. I have tried for many such summations and has given me correct answer.
I was curious as to which algorithm does it use to solve it.
EDIT: It turns out the tool uses wolframaplha api's. But even if you search on wolfram alpha you will get the same result.
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I am new in the machine learning area. please, I was wondering if you could provide me with algorithm or flowchart steps for J48.
note: I am using the default setting in weka.
thank you for your help.
J48 is based on Quinlan's C4.5.
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I'm learning about this in class and I'm really struggling to come up with any examples besides nested for loop. Can anyone share other known algorithms that have n^2 time complexity?
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Can any algorithm that performs automatic learning be called a "machine learning algorithm"? Or is this designation is reserved to the known ML algorithms like SVM, Feature Selection... ?
Any algorithm that learns to do a task by itself and gets better at it is considered machine learning even if it just as simple as computing the joint probability. Only condition is automated learning, that's all.
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I found this game and I'm very curious for know about of algorithm implemented in it.
I don't know how look for this, I don't know what is this algorithm and I want study it.
This is the game http://www.rustylake.com/puzzle-and-skill-games/coloruid.html
Really Thank you.
This seems like a basic "Flood Fill" algorithm.
It's performed on custom 'pixels', but the principle seems the same.
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I have two NFA's.
I need to determine whether both recognize the same language
I would be much obliged if anyone could be so kind enough to explain how to do this.
You can get a canonical representation of an NFA by computing its equivalent minimal DFA.
If two NFA's have the same canonical representation, they accept the same language.