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Question on Backpropagation in a Multi Layer Perceptron with Binary...

Hi all,following Problem. I'm trying to classfy xy coordinates as above (output +1) or below(output -1) a parabola. For this I am trying to use a neural network with tanh() activation functions and set...

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Machine Learning Tutorial - Gibbs Sampling

submitted by u8mybrownies [link][3 comments]

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I'm working on detecting violent scenes in audio data and wanted to know if...

submitted by anantzoid [link][2 comments]

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Ask MachineLearning: Algorithm to estimate duration given only discrete events

Say I have a list of timestamps which represent completion time for a piece of work. These timestamps are also categorized, but that doesn't necessarily need to be a factor. The piece of data we're...

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Looking for some direction on my first ML problem

What I have is a database of fields, and a collection of strings, that are comprised of those fields with some level of distortion. I need to match those things, to the entries in the...

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4 Virtual Environments for Data Science

submitted by eroenj [link][1 comment]

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Classification problem where each training observation is inherently a...

I am trying to find, given a user-input vector of 65 variables/features (some of which may be correlated), the nearest training observation.On the surface this is a classic K nearest neighbor problem....

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Semantic Learning?

I have a project in mind on which I would need to create an AI that would analyze ''chat logs'' and detect negative behavior (gaming context). I do have some knowledge in AI, but not much with...

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PRML Chaps 3 & 4 Study Group discussion (Dec 10-24, 2013) (xpost from...

OK people, now that we've done the very math-intense Chapter 2, it's time to move on. Next up are Linear Models for Regression and Classification. If we mean to move this thing along, we really need to...

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Yann LeCun announces he will be director of the new Facebook AI research group

submitted by CmdrSammo [link][33 comments]

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What is the benefit of using Neural Networks as opposed to Gaussian Processes?

I just read this paper (PDF) by MacKay, which I thought was very interesting. With so much emphasis on neural networks recently, what are examples of problems where they really excel over Gaussian...

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BayesDB - Query the probable implications of your data

submitted by rrenaud [link][3 comments]

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Citation mining and graph visualization

Hi,I want to select a graduate program (in philosophy, no less) that attends a number of rather odd desiderata, and for this I want to text-mine publications and call-for-papers for citations in order...

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How to guess a relevant image corresponding to a text (a news title) via...

I am looking for an algorithm which basically takes input in the form of a text and then returns an image related to the text, by searching on the web. Procedure could be described as followsExtracts...

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Predictive risk models for prisoners with mental disorders

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Where could I learn more about ML for this specific problem

Hi All,Hopefully someone will be able to help me out here, I'm a full stack dev looking to venture in to ML to solve a specific problem. I'm looking for the best reading materials for where to start...

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NIPS 2013 (Just got back from Lake Tahoe)

I was walking through the harris casino and started wondering how popular is reddit in the ML community. If you were at NIPS you might remember me by my orange "I support vector machines" t-shirts....

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Friend made a Hacker News for Data Scientists

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LIVE Stream NOW - RE: Shiny & R - Yale Statistics Professor John W. Emerson

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Tonight, Paris Machine Learning Meetup #6: Playing with Kaggle/ Botnet...

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