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Can't we all just get along? Stanford has 2 great ML groups - 1 in stat and 1...
submitted by scottedwards2000 [link][1 comment]
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Interesting insight into differences between music and movie recommendations...
submitted by rrenaud [link][comment]
View ArticleAPI design for machine learning software: experiences from the scikit-learn...
submitted by glouppe [link][3 comments]
View ArticleDeep Sparse Autoencoder with fixed output for Image Registration
Hi /r/MachineLearningI've just begun my PhD and my work is heavily in computer vision. One of the tasks that we do commonly is image registration. Basically this is the process of taking an input image...
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Using word2vec to determine which word isn't like the others.
submitted by dhammack [link][10 comments]
View ArticleIs there a good website that critiques ML research?
I am personally writing code to recreate some ML research and I am getting very different results from what the paper describes. Is there a community that likes to vet this type of work to help divulge...
View ArticleAd Click Prediction: a View from the Trenches (Google Research, PDF)
submitted by urish [link][3 comments]
View ArticleAny video lecture on Structured SVM ?
The one on videolectures.net by Thornsten Joachim is hard to understand because illegible slides. submitted by bakarr [link][1 comment]
View ArticleSenior ML/software engineer salary with PhD + 1-2 years experience?
Hi All, I was wondering if you could give me some advice on negotiating a salary for a senior machine learning/ software engineer in San Francisco. What's a good starting point for someone with a PhD...
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D-Wave CTO Geordie Rose: Machine Learning is Progressing Faster Than You Think
submitted by Buck-Nasty [link][5 comments]
View ArticleWeighted Least Squares for NMF on concatenated images of different sizes
I have a large set of images decomposed into 5 spatial frequency bands, with each band downsampled appropriately. So for each image I have 64x64, 32x32, 16x16, 8x8 and 4x4 [5 spatial frequencies].Now I...
View ArticleNew datasets for big-learning?
I am searching for datasts in big-data learning to work on as my PhD thesis. I seek for big-learning datasets that have the following properties:The problem is new and is hot for academic society. The...
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Anybody have an example, in any industry/application, of an ML scheme for...
Is this just an idea or has someone worked it out? submitted by Jonny5ive [link][9 comments]
View ArticleHow can I update a Bayesian network model given new data on only a subset of...
There are several methods for inferring network structure in Bayesian networks, given data.In my case I have a Bayesian network model built from old data, and I have a new source of data that I want to...
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Read the Web :: Carnegie Mellon University - NELL: Never-Ending Language...
submitted by _dexter [link][comment]
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Statistical Pattern Recognition Toolbox [a nice little menagerie of...
submitted by skytomorrownow [link][comment]
View Article¿Software for causal inference?
Does anyone know of software for causal inference?The R package pcalg seemed like the best bet, but various changes to R have made it (and its dependencies) a nightmare to install (seems like it isn't...
View ArticleAssisted supervised learning?
Suppose I want to predict the profit of a company given a number of inputs (e.g. number of employees, industry and location of headquarters). I know that profit = revenue - expenses.Would it be...
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