Two rookie questions about randomforest
Hi,I have experimented with implementing Random Forests with Salford Predictive Modeler, and the R libraries randomForest and caret. Salford Predictive Modeler regularly yields higher r2 values than I...
View ArticleQuestion on linear SVMs and curse of dimensionality
Hello, for a project I'm trying to analyze a binary SVM classifier on a set of images. Each image is represented by a vector of 330 values in [0,1], which sum up to 1. (I won't explain what those...
View ArticleAutomated feature extraction
Hello guys,is there any research done on "Automated feature extraction"? Any ideas how to realize such a method?I appreciate your answer! submitted by Regentag [link][3 comments]
View Article[ELI5] Singular Value Decomposition
I'm having trouble understanding SVD, how would you explain it to a child? submitted by reidhoch [link][8 comments]
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MCMC: Hamiltonian Monte Carlo (a.k.a. Hybrid Monte Carlo).
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View ArticleEasy way to convert text to low-dimensional representation
Are there any easy ways to convert a small block of text (10-100 words) into a <1000 dimensional feature vector? One solution that I'm considering is doing an n-gram encoding, then using random...
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Leo Breiman -- Statistical Modeling: The Two Cultures (with comments and a...
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View ArticleMultivariate data mining to extract relevant "business" plots?
How would you approach multivariate data analysis, if you want to create "ordinary" plots for business where one variable is plotted against another and some meaningful statement is in the plot?I...
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[Fun] Here are some tough classification problems . . .
http://www.reddit.com/r/misleadingthumbnailsWow. submitted by justinzoinks [link][comment]
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Question about the Dropout technique
I Understand that you apply Dropout for every training set in order to get multiple sub-models to train ones network on. However, do you create new set of sub-models for next iteration (apply Dropout...
View ArticleA Step-by-Step Guide to Using Machine Learning in Your Trading
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View ArticleBest Machine Learning Blogs; Suggestions?
Looking for the best websites and blogs specifically dedicated to machine learning; what should I read? submitted by ilikebigdata [link][7 comments]
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ML & Data Science talks streaming live today from @graphlabconf
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machine learning related definitions in less than 50 words
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View ArticleIs the apparent similarity between the random subspace method and dropout...
As I understand in the random subspace method (e.g. random forests) you randomly omit some of your features in the weak classifiers so you don't end up with all the weak classifiers using a few good...
View ArticleDropout: A Simple Way to Prevent Neural Networks from Overfitting
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