I used a Dimensionality Reduction method (discussion here: Random projection algorithm pseudo code) on a large dataset.
I am trying to apply Random Projections method on a very sparse dataset. I found papers and tutorials about Johnson Lindenstrauss method, but every one of them is full of equations which makes no mean
I would like to know how stumbleupon recommends articles for its users?. Is it using a neural network or some sort of machine-learning algorithms or is it actually recommending articles based on wha
I wonde开发者_StackOverflow社区r if there is a K-NN implementation uses this method. Python or Ruby will be more than great.
I have a Java app which needs to perform partial least squares regression. It would appear there are no Java implementations of PLSR out there. Weka might have had something like it at some point, but
I am implementing K nearest neighbour algorithm for a very sparse data. I want to calculate the distance between a test instance and each sample in the training set, but I am confused.
I am a total beginner in Matlab and trying to write some Machine Learning Algorithms in Matlab. I would really appreciate it if someone can help me in debugging this code.
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In followup to my previous question Hundreds of RegEx on one string I ended up with a regex like following
I have come across plenty of material on extracting noun phrases from text. Noun phrases were defined as adjacent NN/NNS/NNP/NNPS modified by an optional JJ. It is easy to note that noun phrases are e
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