Machine Learning Books
I have been collecting machine learning books over the past couple months. It seems that machine learning professors are good about posting free legal pdfs of their work. I hope they are useful to you....
View ArticleTexture descriptors based on oriented gradients?
I asked a previous question yesterday. The post can be found here. The post has many details that I'm going to reference below. I have a k-means segmented image that represents a terrestrial site. The...
View ArticleHow easy/difficult is it for a programmer with machine learning experience or...
I've been thinking about this a lot lately. I was a statistics major as an undergrad with a minor in computer science. I'm in graduate school now getting a master's degree in Software Engineering. I...
View ArticleConstrained Independent Component Analysis (cICA)
Does anyone have any experience with constrained independent component analysis? Have been trying to implement cICA in matlab for a while now and cannot get it to work. Following exactly the algorithm...
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Eric Schmidt says that a computer will Pass the Turing Test in 5 Years
submitted by wisintel [link][10 comments]
View ArticleSimple question about Gibbs Sampling with a single Dirichlet-Multinomial
I assume the most simple model:theta | alpha ~ Dir(alpha + N)X_i | Discrete(theta), i = 1, 2, 3What would be the update equation, p(x_i, x_-i)? Is it the predictive distribution of a...
View ArticleBayesian Analysis of Normal Distributions with Python
submitted by sergeyfeldman [link][comment]
View ArticleWhat does Linear Algebra have to do with Machine Learning?
I'm currently taking an advanced Linear Algebra course on Linear Dynamic Systems, and we're covering things like Least-Squares Approximation, Multi-Objective Least Squares, finding the Least-Norm...
View ArticleImprove your Machine Learning with this one weird trick.
submitted by SCombinator [link][6 comments]
View ArticleWhy don't sigmoid and tanh neural nets behave equivalently?
A sigmoid net can emulate a tanh net of the same architecture, and vice versa. I calculated the gradient for a tanh net, and used the chain rule to find the corresponding gradient for a sigmoid net...
View ArticleHow can an ensemble of predictive models provide better predictions than any...
Consider a situation where we have 99 mediocre predictive models, and 1 good one. The models are tasked with predicting the probability of a particular classification. We combine the model's...
View ArticleWho is attending the European Conference on Machine Learning in Prague?
I am curious. I am coming from Canada to present a paper at the Sports Analytics workshop. submitted by ScullerLite [link][11 comments]
View ArticleWith Hinton's DREDNETs, what happened to semi-supervised density modeling?
I've been trying to wrap my head around the Deep Learning scene for a while now, but I'm merely an enthusiast and get a little lost in the details once in a while. Following the literature over the...
View ArticleCalculate significant differences of classifier results for a corpus
In the paper http://nlp.stanford.edu/pubs/sidaw12_simple_sentiment.pdf they calculated "The approximate upper-bounds on the difference required to be statistically significant at the p < 0.05 level...
View ArticleSuggestions for visualizing high-dimensional clusters
For example, how would you visualize the results of doing k-means on the 20 newsgroups? Looking for a few ideas for projecting sparse document vectors down to 2- or 3-D, just so I can draw some pretty...
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Theoretical Limits in Machine Learning for the NHL
submitted by ScullerLite [link][comment]
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