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Algoritm results comparison in a production env.

I remember a concept when studying( and forgot to take notes) fraud detection with genetic algoritms that is called "concurrent model" or something like that ( I really don't remember ) The basic idea...

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Looking for a summer intern

Primary Job Responsibilities Design, Develop, and Test various Machine Learning algorithms for classification of eBay listings. Present the work in internal eBay forums. If deemed necessary, facilitate...

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Beyond Prediction Accuracy

submitted by kumquatz [link] [1 comment]

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In need of a suitable class of algorithms for linking two sets of records.

I have a bipartite graph (two tables of records, U & V) that need matching. Unfortunately in my case records may connect to more than one record in the other table, and all columns are continuous...

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Suggested ML technique for recommending user behavior with a GUI-based tool

I have been asked to add the capability to recommend the best way to use a particular GUI program, based on how it has been used by other users before. It is highly targeted to a particular domain,...

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Question about test error in k-fold cross validation

For my particular data set, I am running k-fold cv for k = 3, 5, and 10. Most of the time, the error decreases as I progress from 3 to 5 and then to 10, but sometimes it decreases from 3 to 5 and then...

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How Prismatic clusters related stories

submitted by kent37 [link] [1 comment]

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Machine learning for identification of cars

submitted by kafka399 [link] [4 comments]

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Open source machine learning tool, Divvy, now on the Mac App Store (free)

submitted by kevestun [link] [1 comment]

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Stanford's ML class for Spring 2012 is now live for anyone interested.

submitted by Lambda_Rail [link] [1 comment]

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What are the limitations on pattern recognition in highly dimensional data?...

I'm taking a course on AI and machine learning and we've just been recently introduced to k-NN, naive-bayes and 1R. During class I began to wonder if it was always possible to extract a pattern no...

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Question about PSO and normalization

I'm currently trying to implement a hybrid PSO (Particle Swarm Optimization) to perform feature selection (binary PSO) and parameter optimization (continuous PSO) for a Support Vector Regression...

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Machine Learning in Action: Interactive Model Gallery

submitted by jjdonald [link] [comment]

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Analog Reservoir Computing using Microphone?

Reservoir computing is a neural-network based machine learning system where a nonlinear stage creates outputs that are trained on by classifiers. Analog reservoir computing has been done using buckets...

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Blog collection of arXiv papers, cross-disciplinary overlap in math, biology,...

submitted by arxivdex [link] [1 comment]

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Is there any kind of a PAC bound for Stochastic Gradient Trees? (Or even what...

submitted by duckandcover [link] [2 comments]

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ICML Workshop on Statistics, Machine Learning and Neuroscience

submitted by badcorrelation [link] [1 comment]

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Tutorial and code to get state-of-the-art performance on Google Streetview...

submitted by sermanet [link] [2 comments]

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A question about notation used in neural networks

Why for a synaptic weight from neuron i to neuron j we use notation Wji? Isn't Wij a more straightforward notation? submitted by SunnyJapan [link] [6 comments]

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Talent crunch for machine learning and statistics skills

submitted by contrarianism [link] [11 comments]

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