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Another paper researching ways to combat misclassification of adversarial...
submitted by test3545 [link][15 comments]
View ArticleSeminal papers on machine learning
What papers would you consider groundbreaking and a must read for students of the field? submitted by mostly_complaints [link][9 comments]
View Articlev18.12 of the dlib C++ machine learning library was just released
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View Article[Question] Which model to predict air cleanness (Ozone/CO2) ?
How hard it is to predict the air pollution?I am an agronomist, doing some research on some small plants. The plants are very sensitive to air pollution in urban area (need deep explanation here, but...
View ArticleWhat Programming Language to choose out of C / C++ and Fortran ?
Hi, Which of these programming languages makes more sense to implement a Neural Net like http://research.microsoft.com/apps/pubs/?id=226584 or http://nips.cc/Conferences/2014/Program/event.php?ID=4554...
View Article[Academic research] Machine learning and complex event processing -...
Hello guys,I am looking for academic research papers about the usage of machine learning with complex event processing. I plan to focus much more on the topic machine learning, because even though my...
View ArticleMachine learning vs Reasoning and knowledge base: When to use what?
Hello guys,in a lot of papers scientists use a knowledge base to check or represent data.I am comparing machine learning versus reasoning systems, which use a knowledge base as a backeend. In my...
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Image a circle of neurons. Each neuron is (or can) be connected to any other...
Edit: That should real "imagine", not "image".Title says it all. Let's imagine we have, say, 10 neurons, all in a circle. Now, each neuron can be connected to any other one, (except itself of course)....
View ArticleDifference between invariance and equivariance(in terms of convolutional...
This might be more suitable for /r/statistics but I am trying to learn about convolutional neural networks so this seemed like a better place.I was watching Geoffery Hinton's coursera lecture on...
View ArticleHow to train Auto-Encoders with Tied Weights?
Hi there.I started to read about auto-encoders a short time ago and I am trying to imagine how I could employ an under-complete AE (I'm considering the simplest scenario possible, no denoising, only...
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Continuous Hierarchical Temporal Memory (CHTM) Part 1
submitted by CireNeikual [link][comment]
View ArticleNaive Bayes SVM: Simple, Good Sentiment and Topic Classification
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View Articlecan Multilayer perceptrons and standard Backpropagation algorithm take...
submitted by y05f [link][3 comments]
View ArticleImproving Naive Bayes accuracy for text classification?
Hi everyone,I am performing document (text) classification on the category of websites, and use the website content (tokenized, stemmed and lowercased) as the feature set for my data.My problem is that...
View ArticleAny advice?
Greetings, I am a first year bioinformatics bachelor student and I got interested in machine learning. So far, I have experience only with python, and was wondering if I should continue with python, or...
View ArticleLooking for simple machine learning projects that deal with real world data...
Now that I am over with my exams I want to get my hands dirty with some machine learning and I plan to learn some machine learning algorithms by coding them myself either in Python or Java or C++ and I...
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Interactive in-browser 3D visualization of datasets
submitted by Foxtr0t [link][comment]
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