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what`s the meaning of primitive in "gradient descent primitive"?

Hi all,I am reading the doc of spark (http://spark.apache.org/docs/0.9.0/mllib-guide.html#gradient-descent-primitive). I am trying to translate the doc into Chinese, and there it talks about gradient...

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What's the deal with integer-valued data?

This question concerns models that accept feature vectors which are purely integers: in what ways do e.g. count vectors screw up models which are traditionally defined on the reals? Collins et. al....

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LSTM derivs for backprop through time

Hi guys, I'm struggling with implementing a long short-term memory network. I have the forward pass done, but I'm having trouble deriving the activation functions in order to get the error terms...

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Data Mining vs. Machine Learning?

Hi guys,I'm starting a PhD in Data Mining, and have mostly been equating it with Machine Learning so far until I found this quote by Kevin Murphy:Such models often have better predictive accuracy than...

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The Effects of Backtest Overfitting on Out-of-Sample Performance.

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Overview of Cluster Analysis and Dirichlet Process Mixture Models

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Julia-based MCMC model predicts the Eurovision Song Contest

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Profiting from Machine Learning in the NBA Draft

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Outlier Detection in Time Series Signals

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Yann LeCun will be doing an AMA in /r/MachineLearning on May 15 4PM EST

I'm happy to announce Director of AI Research at Facebook/NYU Professor Yann LeCun will be stopping by /r/MachineLearning on May 15 4:00-6:00 PM EST for an AMA.Based on the success of the last AMA, a...

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What are good ways to find articles in statistics or machine learning on a...

In my home field, psychology, one typically searches PsycINFO, and perhaps also MEDLINE and other miscellaneous social-science databases (e.g., IDEAS for economics). What are good abstracts databases...

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We're hiring an ML/NLP fanatic

I'm from Gridspace, and we're looking to hire someone for the below position, ideally with some background in modern machine learning methods, statistics, or natural language processing. You should...

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Cost-sensitive ensemble of binary classifiers

(Note: I have posted here and here before, but I'm still looking for more information).I'm looking for an supervised learning ensemble algorithm that can combine individual classifiers, when there is a...

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Are there standard libraries for motion classification from wearables data

I am a novice in the sensors space and doing some procurement activities for my firm. Does anyone know whether there are research organizations, academia, etc who are building standard libraries that...

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Can machine learning help me on my problem?

I have to write a function, reduce, that operates on trees and return trees. For example:reduce (B (P (F (P (B A) A)) (O (B (B A))))) = (B (P (B A) (B A))) reduce (F (P (O (B (B A))) (B A))) = (B A)...

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Training set selection when you have near infinite examples

If you are working with unlimited data sets you could use for training, is there some research on what examples to choose to optimize learning? For example, lets say you grab 10k random examples and...

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Sentiment Analysis Labeled Dataset?

I'm looking specifically for "rudeness" or "politeness" labels. There's many on positivity and negativity. I'm willing to pay for it too. Anyone know of any? submitted by kristopolous [link][11 comments]

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Supervised sequence regression

Hi, I'm relatively new to machine learning and have been wondering on the following problem for a few weeks: What kind of algorithms can help me to find a estimator forf: A* --> B*that is a...

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Does your Big Data have Structure? Will it therefore have value?

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Does PCA preserve the order in data?

So, I have a set of features, and want to perform PCA and use the first principal component for furthur analysis. Currently, all my features come from some physical energy functions, so the domain...

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