Explain Conditional Random Fields like I'm stupid?
I have been reading about CRFs and nothing is seeming to click. Can somebody give me a general idea of what CRFs are doing, persay? I understand HMMs, and people often relate them in the literature but...
View Articlecareer advices
Hi, I'm about to finish my PhD in formal methods (I did use some machine learning techniques in my master though) but I really don't want to work in this field. I've been studing Machine Learning...
View ArticleRTextTools v1.3.2, a supervised learning library for text classification, now...
submitted by tymekpavel [link] [comment]
View ArticleCreating a simple recommendation system for reddit: any advice?
I want to create a simple user-based recommendation system for reddit, mainly for personal use. The idea is to get training data in the "liked" and "disliked" items for the user (this requires the...
View ArticleCan R be used with SQL Server in a production environment?
I'm looking into replacing some of our old data mining algorithms implemented in SQL Server with R. I'm wondering if it's fast and stable enough to run in a high-volume production environment (I'm...
View ArticleDataspora is hiring a Chief Analytics Officer! Based in either Boston or San...
Job Description We are looking for a smart, innovative and detail-oriented Chief Analytics Officer to join our predictive analytics team. You should thrive on working in a fast-paced and exciting team...
View ArticleQuestion about Backprop
Let us suppose that you have a neural net with only one training example. Will the final state of the network be the same if you run backprop for many iterations with a small learning rate as it would...
View ArticleAny ideas on how to use machine learning to analyze fMRI data to determine if...
For my CS senior project next semester I'm going to be analyzing 4-dimensional (3 in space, 1 in time) fMRI data using machine learning. Ultimately, the goal is to be able to tell whether or not...
View ArticleHelp. Would a markov chain suffice
I'm trying to quantify the likelihood of observing certain trajectories in a discrete (n by n by n) 3D space, i.e. moving from one bin to any adjacent bin. Someone proposed looking into HMMs, however,...
View ArticleA Word Cloud with Spatial (also special) Meaning
submitted by talgalili [link] [comment]
View ArticleEurisko, The Computer With A Mind Of Its Own
I found this article a few years ago when I was looking at heuristics. I can't find the article text online anywhere anymore. I don't want the article to get lost. :( So here it is. I don't care if you...
View ArticleThe stability of classification trees vs logistic regression
submitted by talgalili [link] [comment]
View ArticlePartial Least Squares: can I use it the same way as linear regression, except...
Any special considerations or limitations when compared to ordinary least squares? submitted by randombozo [link] [6 comments]
View Articlelooking for advice on manually labeling portions of unlabled images
I have a set of images that are somewhat complicated - they have many examples of what I am looking for on each image and they are currently unlabeled. I am looking for a tool that would let me select...
View Articlemy experience with implementing mixture models for background modeling of videos
submitted by mish4 [link] [1 comment]
View ArticleAnyone know where I can get the Netflix Prize dataset?
It seems to have been taken down from all of the normal channels, but I was wondering if one of you might know where I could grab a copy? Or maybe even torrent it from someone? submitted by...
View ArticleA nice, readable article on semi supervised naive bayes
submitted by rrenaud [link] [10 comments]
View ArticleCourse website of course on mathematical problem solving techniques:...
submitted by satsatsat [link] [1 comment]
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