Weighting labeled points over unlabeled points in semi-supervised learning.
I am currently working on a semi-supervised generative model with about 330 labeled nodes and 18,000 unlabeled nodes. There are about 300 different variables I'm using based on n-grams of varying...
View ArticleNaive Bayes vs. Simple Formula
I'm working on a program that classifies whether or not a web page is related to Movies or not using Naive Bayes. I got a fairly good result of 85% accuracy but I felt this wasn't high enough and had...
View ArticleSeeking advice on possible next steps in working on ML.
Sorry if this is long winded, but I figured maybe someone on here could provide some advice.So I am currently a senior in college who has a job lined up in the Bay Area starting in August doing...
View ArticleExperiences with bayesian hyperparameter optimization?
I was checking the paper, Practical Bayesian Optimization of Machine Learning and i was wondering if anyone here had some experience (good or bad) with it.. submitted by galapag0 [link][8 comments]
View ArticleThe Learning Behind Gmail Priority Inbox [Google - PDF]
submitted by jtj313 [link][9 comments]
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Attending 2nd week of Cousera’s Machine Learning course
submitted by IrioMk [link][comment]
View ArticleIs Azure Machine Learning tool useful at all ?
submitted by chiragdhull [link][7 comments]
View ArticleA question on dropout regularization in neural networks
I was watching this presentation by Geoff Hinton today and did not fully understand a point he made about dropout. He states that dropout pulls weights towards what other models want, whereas L1 or L2...
View Articleword2vec is actually just matrix factorization
submitted by gabjuasfijwee [link][3 comments]
View ArticleUnifying Visual-Semantic Embeddings with Multimodal Neural Language Models
submitted by sergii_gavrylov [link][1 comment]
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Intuition and implementation of Isomap [also posted to /r/clojure]
submitted by shriphani [link][3 comments]
View ArticleDictionary learning for extremely small dataset of samples?
I have around 100 samples, on which I'd like to do some sort of "dictionary learning". These are essentially medical images of a particular ethnicity and I cant really augment the data. I am looking to...
View ArticleComparison of Non-linearities in terms of convergence dynamics,limitations...
Nowadays, linear and piecewise linear activations functions are preferred for neural networks. Could you please recommend any works that compare the suitability, and the convergence behavior of these...
View ArticleWhere can i get the lenet5(lecun 98) configuration file?
For now ,i'm trying to implement the lenet 5 in c++ . While i successfully set up the network structure and for a single input image the output would converge after 30 iteration . The network can't...
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Efficiency of Predicted Sparseness as a Motivating Model for Hierarchical...
submitted by fergbyrne [link][26 comments]
View ArticleQuestion: finding associations in disparate data
I am in the beginning stages of a project that will hopefully find associations between a wide variety of seemingly disparate data. I had originally wanted to use scikit-learn because of support &...
View ArticleHellinger Distance Decision Trees
Does anyone have experience with this technique or know if they've been extended to forests?I deal with lots of imbalanced data in my work so I'm curious if anyone has experience here.edit: Forgot to...
View ArticleWhat is the relationship between Linear SVMs and logistic regression?
Clearly they are optimising for different objective functions, but what is the significance of this in the interpretation of the results?It seems that in both cases you obtain an interpretable...
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ArrayFire, a general-purpose GPU library, goes open source
submitted by galapag0 [link][4 comments]
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