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Algorithm combining
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IT & Programming > Other IT & Programming

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  • Posted: Wed, Jan 09, 2013
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(i) Combine CFS Subset evaluator and Bayesian network learning in weka.
(ii) It should appear as a single algorithm like the Random multitree
(iii) the features selected by CFS subset alone should be subsequently used for bayesina netwrok learning
(iv) Each feature selected by the CFS should be added one by one and the Bayesian network algorithm should be run and the MCC and accuracy alone needs to be calculated.
Please use weka 3.7.7jj

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Desired Skills
Java
Job ID: 36690030
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 Macedonia  |  
I am university research and teaching assistant. I have over 7 years of experience in software development. I have worked in various platform and...
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 0.0   |  Private   |  0 Jobs
Bid ID: 36695786  |  Submitted: Jan 9, 2013 12:26 ET 
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