Visualising the hyperplane from SVM?
Using Matlab, I've used SVM to find the support vectors of my dataset.To make predictions, I say: p_hat = dot(alpha.*y_train, K(i, :)) + bWhere K is my Gaussian kernel matrix. It performs with 86%...
View Article[Question] Semantic Text Recommendation Engine
Do you recommend any titles, models, Projects or research papers to check that helps building semantic tagging & recommendation of text-based content using any approach [Text Mining/NLP/Semantic...
View ArticleQuestion about denoising autoencoders.
Not sure if this sub is for questions like this but I'm at a loss.Am I understanding this correctly: if I have a noisy signal, I cannot denoise it using a denoising autoencoder? I'm quite confused......
View ArticleVariable-performance ML algorithms?
I'm curious if there exists proven-algorithms that can perform with variable performance/accuracy. One can think of an example, where an objective function that depends on a parameter that defines the...
View ArticleSuggestions for talk, tutorials, seminars to watch in a reading group?
Folks, I host a computer vision and machine learning reading group at my work place. Its mostly people presenting their own work or the group watching an interesting talk or tutorial together lasting...
View ArticleWhat is the best loss function to use when comparing discriminative...
Hi, I am try to identify the best predictive model that yields accurate probabilities of positives (the data's labels are binary) on a severely imbalanced data set. I have 2 main problems.Different...
View ArticleUsing discrete Fourier series to train ANN's
Greetings, r/MachineLearning,I'm a self-taught non-math/cs undergrad, quite new to the field, but trying to get better at it, because it fascinates me. So I had this idea for my term paper: use EEG,...
View ArticleHow to perform feature creation from multivariate time series data?
How could one create features for multivariate time series data in a way that the created features are time-independent? Is this possible with recurrent neural networks in some unsupervised fashion?...
View Article[META] State of the Journal Club
Hi there!As some of you might have noticed, there were no new Journal Club posts this week. This was mainly due to myself being ill for most of last week. Sorry for not updating the threads this...
View ArticleWe probably all know that computers could generate an awesome music... But...
Ok, it could be nothing - mine Korean is infinitely worse than mine Chinese. Zero phrases vs ~100. Anyhow here is something called "new virtual singer". And quick Google search reveals that there are...
View ArticleSports betting: regression to predict odds
Hi.I'm a hobbyist at machine learning with a limited experience and I have a question that I hope you can help me with!I'm trying to predict the odds of a player being the winner in a tennis match. My...
View ArticleCollecting data for a music recommendation system class project
Hello,I'm taking a class that's related to machine learning and Big Data, and the project is a music recommendation system. Part of the assignment is collecting some data, and I was hoping I'd be able...
View ArticleFeature Similarity Measures
Hello,I have a question to ask you guys. Its regarding similarity measures that can be used to find similar features.The features are text based. e.g.sample 1-> word1 word2 word3 word4.... sample...
View ArticleLearning multiple tasks using Manifold regularization: Question about the paper.
I was reading the paper "Learning multiple tasks using Manifold regularization"(http://www.umiacs.umd.edu/~arvinda/mysite/papers/nipsMTL.pdf). This paper appeared in NIPS 2010. I was wondering if...
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Cool post on word2vec for skill similarity
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DeepMind Technologies (Google) builds a so called Neural Turing Machine...
submitted by petrux [link][2 comments]
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