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Intutive difference between Hidden Markov Models and Conditional Random Field?

I understand that HMM are generative models, and CRF are discriminative models. I also understand how CRFs' are designed and used. What I do not understand is how they are different from HMMs'? I read...

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computer vision competitions won by deep learning?

Does anyone know of a list of computer vision competitions that have been won by convolutional deep neural network approaches (deep learning, unsupervised feature learning). I recall seeing many state...

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Trying to find papers about Similarity Metrics (Cosine, Euclidean, Pearson,...

I'm doing research involving recommendation systems using collaborative filtering and I'm trying to find papers that talk about the performance of these similarity metrics: Cosine, Euclidean, Pearson,...

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Has anyone used singular spectrum analysis before? How does it compare to PCA?

I have some time series data in the form of (x1, x2, ..., xn, y) for each example, and I am wondering whether SSA would be good to use as a pre-processing step. I don't know very much about it yet, so...

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Nedd help in choosing problems for my master thesis in machine learning

can anyone help me by giving some master thesis project idea on machine learning or in deep learning or pointing to some resources. submitted by koushiksaha89 [link][3 comments]

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LDA for binary topics

I'm preparing my Bachelor thesis and I'm thinking about using a supervised/semi-supervised LDA (Latent Dirichlet Allocation) adapted to subdocument segments (sentences, dialogues) to formal vs....

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Kaggle Q&A With Job Salary Prediction First Prize Winner Vlad Mnih - another...

submitted by rrenaud [link][2 comments]

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How to formulate probability for a new worker on a new sample in a...

I am working on a system where you could assess the value of a new worker in a crowdsourcing platform on a new sample. To state it more formally:Given a set of workers W which have each already labeled...

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Matlab for the web: really useful for the kind of plots machine learning...

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How to get Hilary Mason to build your recommender for free

submitted by thmsmlr [link][7 comments]

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ICML 2013 Bird Challenge - Identify bird species within continuous audio...

submitted by willis77 [link][comment]

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Why not model computer programs? It's just as fun and challenging as natural...

submitted by turnersr [link][10 comments]

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A subreddit recommender with Machine Learning

It is available as a chrome extension. Feedback by potential users and ML practitioners is appreciated!Implementation details are available here. submitted by pilooch [link][15 comments]

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A tutorial on using Haskell's HLearn library for Markov networks

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Machine Learning: Markov and Wiener's models of hierarchical sequences of...

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Starting a machine learning job ...

I just graduated with a B.S. in CS and managed to snag an entry-level machine learning position at a pretty well known company in the Bay Area.I'm incredibly nervous for a number of reasons but mainly...

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How can I handle a large data set on my laptop?

The data that I am using is fabricated from a few minutes of sound, but this process bloats the size so much that it has no hope of fitting in my limit of 4GB of RAM. What I have been doing is walking...

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Markov Chain Monte Carlo and the 2013 Eurovision Song Contest

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Best Selling Big Data Book Free on Amazon right now!

submitted by DataDomino [link][8 comments]

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BudgetedSVM: A C++ Toolbox for Large-scale Non-linear SVM

submitted by _dexter [link][1 comment]

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