Dirichlet process mixture models for clustering using R?
I was following along with this blog post - http://blog.echen.me/2012/03/20/infinite-mixture-models-with-nonparametric-bayes-and-the-dirichlet-process/ where he explains clustering through the used of...
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Linear Regression in One Variable- Gradient Descent Contd.
submitted by mbhambry [link][1 comment]
View ArticleTop Preference distance metric
I'm working on a project where I have multiple users who have each ranked a long list of items to identify their top 5. If I focus on one user (the focus user), what is a good metric for finding other...
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Understand Your Problem With Exploratory Data Analysis
submitted by jasonb [link][comment]
View ArticlePersistent Contrastive Divergence and Dropout
Does anyone know how to correctly use Dropout with Persistent Contrastive Divergence (PCD) for a Boltzmann machine? Is Dropout supposed to be used when the Persistent States are updated? Or should the...
View ArticleHow can I make use of weakly predictive features when the predictive model...
I have an interesting problem where if I remove half of the features in my feature set (i.e. go from 40 to 20), I get a significantly more accurate model (a random forest) than I would if I kept those...
View ArticleUsing PyBrain after training a network
(Not sure whether I should post this here or on /r/statistics, so I'm trying here.)I'm using PyBrain to create a neural network. I'm still pretty new to neural networks and their concepts. I've so far...
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Deep learning might help you get an ultrasound at Walgreens
submitted by agrman [link][comment]
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Machine Learning Showdown: Apache Mahout vs Weka
submitted by moriara [link][2 comments]
View ArticleAre there any open source implementations of sentence generator using neural...
Recently there have been attempts in using Convolutional and Recursive Neural Networks in generating sentences in natural language....
View ArticleEmotion Detection in Suicide Notes using Maximum Entropy Classification [pdf]
submitted by jonathan881 [link][3 comments]
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Deep Visual-Semantic Alignments for Generating Image Descriptions
submitted by vrld [link][10 comments]
View ArticleArtificial Neural Networks for the Solution of Inverse Problems
submitted by Sergiointelnics [link][comment]
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Provable Bounds for Learning Some Deep Representations (x-post:...
submitted by compsens [link][2 comments]
View ArticleIs ImageNet still useful?
So I saw a talk by Matt Zeiler of Clarifai, "Visualizing and Understanding Deep Neural Networks", which showed some nice visualizations of what the deep layers of convnets are firing on.According to...
View ArticleIndustrial multivariate time series analysis recommendations
Hi r/machinelearning,I have a problem that I am looking at where there are 50 or so sensors that are recording data every minute. One of the sensors is the variable of interest (subcool, a temperature...
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Mocha.jl, a Deep Learning Library for Julia inspired by Caffe
submitted by jfsantos [link][4 comments]
View ArticleIdentifying multiconvex functions
I am working with a function that I suspect is multiconvex. Does anyone know how I can identify whether it is multiconvex or not? I cannot check the second derivatives with respect to each variable...
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Clustering to Reduce Spatial Data Set Size with Python: a Battle of the...
submitted by gboeing [link][1 comment]
View ArticleLIBSVM (nonlinear regression with e-svr using linear kernel)
In what cases is libsvm supposed to returned [nan] as the predicted values of nonlinear regression (with e-svr using linear kernel)?Is there a faq available ? submitted by __null__ [link][6 comments]
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