Library for Bayesian Optimization?(using Gaussian Process)
A good library for doing bayesian optimization? I came across 'BayesOpt', but seems new and untested? At this point if there is a place where someone has written those programs, I would love to have a...
View Articlecalculus of variations
Where did you study the Calculus of Variations for Machine Learning? It's a prerequisite for understanding Decision Theory. Bishop's books has 3 pages about it but they're too sketchy. There are entire...
View ArticleModel selection and Monte Carlo integration
Current state:I have a dataset. I have a model I am fitting to this dataset. I am doing this via Metropolis-Hastings MCMC. A simple description of the model: There are K continuous distributions. Let...
View ArticleDoes anyone have a good resource that explains the TD(lambda) algorithm?
The explanation of TD learning on scholarpedia was adequate for me to understand it, but I still can't find a good explanation of the generalized algorithm with eligibility traces. submitted by...
View ArticleNotation question
I'm describing a model fitting procedure and using 'x' as a shorthand to denote a list of all the free model parameters. I want to clearly state the contents of x in a formal way rather than just list...
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flexographic printing machine in india delhi
submitted by azadvinder123 [link][1 comment]
View ArticleExplain deep belief networks as if I'm a complete moron.
Whenever I see someone talk about deep belief networks, its always a bit too technical for me. I have a really hard time reading the original papers by Hinton, and I really have never seen a good...
View ArticleIntuitive understanding of RVMs'?
How exactly are Relevant Vector Machines different from Logistic Regression and SVMs' for classification purposes? Concretely, in the case of Logistic Regression, we are looking for a hyper-plane that...
View ArticleHow to use PyDev for Kaggle machine learning projects?
How do you upload data from different Kaggle.com projects into PyDev/Eclipse and begin writing code for analysis and prediction? submitted by mrlovell [link][3 comments]
View ArticleAn idea I have for improving ensemble and neural network models. May work...
This is an idea I had today, I figured I'd post it here. If it's been done before or wouldn't work, let me know.The TL;DR is to add a term to the cost function of a model to prevent ensembles from...
View ArticleSwarm optimization to refine legal strategies when agents can't form a...
submitted by DevFRus [link][comment]
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Geoff Hinton on his new approach to deep neural networks: DREDNETs
submitted by rudyl313 [link][6 comments]
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Question about regression splines OR poor man's gaussian processes?
Hi all,I am wondering about estimating predictive variances for regression splines. In particular, I know that I could fit a cubic spline to predict the mean given some input, but what if I am...
View ArticleOpinions on NLTK
Hi, I've been studying NLP for a little bit now and would like to do a project where I create a one sentence summary of a paragraph. I want to start off by analyzing sentence structure and creating a...
View ArticleBest Python IDE for Predictive Analytics and machine learning
What do you think it the best Python IDE for debugging support, refactoring, etc when dealing in predictive analytics and machine learning? submitted by mrlovell [link][19 comments]
View ArticleHow can I quickly find data that causes some output of a neural net?
I could do backprop and learn the input values that maximize the probability of the output, but this would take a while, and since I have to do it many times it is undesirable.It may help if there is a...
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