Background I am trying to fit a topic model with the following data and specification documents=140 000, words = 3000, and topics = 15. I am using the package topicmodels in R (3.1.2) on a Windows ...

I want my Restricted Boltzmann Machine to learn a new representation of real-valued data (see: Hinton - 2010 - A Practical Guide to Training RBMs). I'm struggling with an implementation of Gaussian...

The wikipedia article on determining the number of clusters in a dataset indicated that I do not need to worry about such a problem when using hierarchical clustering. However when I tried to use s...

I constructed a couple of Hidden Markov Models using the Baum-Welch algorithm for an increasing number of states. I noticed that after 8 states, the validation score goes down for more than 8 state...

I would like to design a deep net with one (or more) convolutional layers (CNN) and one or more fully connected hidden layers on top. For deep network with fully connected layers there are methods ...

I am using Convolutional Neural Networks (Unsupervised Feature learning to detect features + Softmax Regression Classifier) for image classification. I have gone through all the tutorials by Andrew...

My scenario is pretty straightforwrd: I have a bunch of news articles (~1k at the moment) for which I know that some cover the same story/topic. I now would like to group these articles based on sh...

I have about a thousand potential survey items as a vector of strings that I want to reduce to a few hundred. Normally when we talk about data reduction, we have actual data. I administer the items...

I'm having trouble with some of the concepts in machine learning through neural networks. One of them is backpropagation. In the weight updating equation, delta_w = a*(t - y)*g'(h)*x t is the "...

I'm trying to program a k-means algorithm in Java. I have calculated a number of arrays, each of them containing a number of coefficients. I need to use a k-means algorithm in order to group all th...

I already have a way of clustering my graph, so the process of clustering isn't the issue here. What I want to do is, once we have all the nodes clustered - to draw the clustered graph in Python, s...

I'm looking for an overview of the state-of-the-art methods that find temporal patterns (of arbitrary length) in temporal data and are unsupervised (no labels). In other words, given a steam/se...

Can anyone explain what the major differences between the prcomp and princomp functions are? Is there any particular reason why I should choose one over the other? In case this is relevant, the ty...

I have built a semi-supervised version of NLTK's Naive Bayes in Python based on the EM (expectation-maximization algorithm). However, in some iterations of EM I am getting negative log-likeli...

First up, this is most certainly homework (so no full code samples please). That said... I need to test an unsupervised algorithm next to a supervised algorithm, using the Neural Network toolbox i...