When training a support vector machine (SVM) for classification with exactly the same data I obtain different results based on the order of the inputs, ie. if I shuffle the data I get different SVMs.
I\'m trying to perform LDA topic modeling with Mallet 2.0.7.I can train a LDA model and get good results, judging by the output from the training session.Also, I can use the inferencer built in that p
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I have a dataset of around 3000 positive and 1500 negative samples, with around 1000 features. All features are real number. I want to train a randomForest classifier with \"randomForest\" R package.
Hi I have some data thats represented like this: 0,tcp,http,SF,239,486,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,8,8,0.00,0.00,0.00,0.00,1.00,0.00,0.00,19,19,1.00,0.00,0.05,0.00,0.00,0.00,0.00,0.00,normal.
I\'m looking to calculate mutual information between two features, using Java. I\'ve read Calculating Mutual Information For Selecting a Training Set in Java already, but that was a discussion of if
I want to build lists of prefixes and suffixes of some length from all the IUPAC names mentioned in Pubchem Database,so that I can use them fu开发者_Python百科rther in my project as a feature.So I wan
I have a set of pairs of character strings, e.g.: abba - aba, haha - aha, baa - ba, exb - esp, xa - za The second (right) string in the pair is somewhat similar to the first (left) string.
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