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Cat!

submitted by RichKatz [link][7 comments]

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[Question] Multiple class decision trees

Hey everybody, I have a question about using decision trees for multiclass classification. I'm familiar with the concept of a "One-vs-all" approach where for N classes you would learn N models, where...

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Moravec's_paradox - Evolution based explanation on why perceptual tasks are...

submitted by rrenaud [link][1 comment]

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Data Dimensions and Geometry

submitted by reidhoch [link][1 comment]

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[Question] Probabilities sensitive to the form of the question?

I've been reading Machine Learning - A Probabilistic Perspective by Kevin P. Murphy. Each chapter features exercises and one that seems incredibly simple has me completely baffled.Here's the...

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A List of Data Science and Machine Learning Resources [x-post Hacker News]

submitted by worldsayshi [link][1 comment]

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Help: New to machine learning, writing a Bump Function regression algorithm

This is the first ever regression algorithm that I'm writing for practical purposes, so I'm sorry if this seems like child's play to you guys. I'm trying to write a program that models a 3D bump...

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Working on a libSVM GUI: how to get classification border?

Hi guys,I was working on a C++ wrapper and a gui for libsvm. When it's ready it will be opensource.Right now, I can load data, plot it (if 2d), train a model and highlight the support vectors....

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candy floss machine

submitted by zabuplunder [link][comment]

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[Question] Parallel implements for LASSO

Hi guys, I wonder if there exists any MapReduce-based implement for LASSO, instead of MPI-based solutions? Or if I use bagging to combine several LARS results, will it be a good idea for large-scale...

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MetaOptimize QA: The "StackOverflow" for Machine Learning

submitted by shaggorama [link][3 comments]

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Using satellite imagery to determine pedestrian, cyclist, car, bus modeshare...

For those of you who don't know, the current state of the art in determining the number of cyclists and pedestrians utilizing the streets is to put a volunteer on a street corner, and count them. For...

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Neural network for singing voice separation?

Hi everyone -- I'm fairly fresh into machine learning and was hoping to get some guidance...I'd like to construct a proof of concept algorithm that would take an MP3 encoded song, and output two files...

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Which machine learning algorithm would be ideal for this problem?

Any help will be much appreciated. I am already working to see how I could change my data to make it suitable for learning but unfortunately not much luck so far. submitted by girl_at_school [link][2...

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Do you really have big data?

submitted by rrenaud [link][comment]

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Approaches to deal with absent/null features in classification?

I'm putting together a supervised classifier, where some of the features may be absent for a subset of the data. And by absent, those features do not exists, as opposed to missing.I was wondering if...

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Is there an simple form for a relationship between correlation and...

For example, if X and Y are linearly correlated at .8, are there something like confidence intervals I can put on the classification rate obtained when threshholding X to identify Y > k?The...

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Active learning to reduce the cost and number of stored instances for...

I have been working on an "active learning" approach for jointly reducing the cost and number of labeled samples (instances) in "instance-based" methods and ensembles (specifically General Regression...

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Can anyone provide an intuitive explanation of the Restricted Boltzmann...

I'm trying to figure out how well RBMs can handle very large numbers of sparse input neurons (over >100k, but where all but 20 or 30 are set to 0). submitted by sanity [link][6 comments]

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A new reddit voting system?

With the discussions about the quality1loss2 of reddit submissions and comments, I thought about a possible way of changing the voting system. As a user, you currently have one upvote/downvote. This is...

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