Convex Optimization - From Real-Time Embedded to Large-Scale Distributed -...
For people interested, this is an expanded version of the talk Stephen Boyd gave in KDD 2011 Convex Optimization Lecture He shows how convex optimization is related to machine learning, specifically...
View ArticleWould anyone be interested in hand-drawn decision boundary code for MATLAB?
Hi all. Suppose you are looking at a scatterplot of 2-D data in matlab and you are envisioning some type of boundary to best separate the data. One thing you could do is train a logistic regression or...
View Article2-d Machine learning?
I am only just beginning to learn Machine Learning in the hope that it might solve a problem I have. I have a data set where there are two continuous 'output parameters' that I want to be able to...
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An Algorithm for Pattern Discovery in Time Series
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Norvig vs. Chomsky and the Fight for the Future of AI
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View ArticleWhat is an example of a distribution of which you can only access an...
In the context of a lot of MCMC methods for sampling you seem to need a sampler candidate distribution Q and an un-normalized version of your target distribution P. (Where you are trying to draw...
View ArticlePractical machine learning tricks from the KDD 2011 best industry paper
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Target's learning algorithms figure out a girl is pregnant and accidentally...
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View ArticleHighly Parallel Sparse Matrix-Matrix Multiplication - Aydın Buluc, John R....
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View ArticleResources for linear system programming
Been researching all evening for a small project, thought i should share :) Review of linear algebra libraries Benchmark of C++ Libraries for Sparse Matrix Computation Libraries: SuitSparse Matrix...
View ArticleHow important is Java/C++ vs just using R/Matlab for big data?
hey guys, I am a biostats student currently working in genomics and neural signals processing. I am very comfortable with R and Matlab and have a good amount of ML experience (in R) as well. It seems...
View ArticlePossible research directions in large scale deep learning
I'd like propose some research directions in large scale deep learning (so that those of you in academia can publish papers and code and I can get the fruits of that labor). The basic premise -...
View ArticleFeature Importance For Logistic Regression?
Is there an established methodology for determining which features are important when training a logistic regression classifier? The most obvious first thought is to look at each feature's raw weight...
View ArticleOk. What exactly is 'deep learning'?
Hello all, I have done some ML, and being somewhat plugged into the scene, I keep hearing about deep learning this and deep learning that. For all the blogs/articles/soundbites I come across however, I...
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Edge Prediction in a Social Graph: Edwin Chen's Solution to Facebook's User...
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View Articlenormalized margin of adaboost
just don't know why normalized margin is maximized in adaboost, it is certain that the obj in adaboost is minimizing exp loss, and therefore maximizing unnormalized margin. However, Schapire (in his...
View ArticleDoubts about precision.
I have a task where I have to mark ever instance as "X" or "Y". For evaluation, I have to calculate my precision over every part (A,B,C etc) of the dataset. If I mark 0 as X, from part A. What is my...
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Heading classification on webpages. Need ideas.
I'm trying to parse out headings on webpages - main headline, paragraph headlines and the like. I eventually have to create a hierarchy of headings with this (more like a table of contents). I have...
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