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Commits on May 22, 2014

• rm execution file

  

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• make it better to understand!!

  

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• improve the performance of sigmoid function

  

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• add some test about sampling

  

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Commits on May 21, 2014

• rm l1norm.cpp

  

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• final complete!!

  

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• complete testgit add test.sh

  

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Commits on May 20, 2014

• done! for change the last bug, energe function should make sure that the small energe means high probability and huge energe means low probability.

  

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Commits on May 9, 2014

• bug fixed in all algorithm

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• bug fixed in sigmoid function

  

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• bug fixed

  

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• bug fixed in sigmoid function

  

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• add the pdf of "A Tutorial on Energy-Based Learning"

  

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• add example of "A Tutorial on Energy-Based Learning"

  

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Commits on May 7, 2014

• add Negative Log-Likelihood Loss

  

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• add 2 algorithm to do the same thing

  

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Commits on May 5, 2014

• add algorithm pic

  

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Commits on May 4, 2014

• add some documents for MRF

  

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Commits on Apr 25, 2014

• "add a test about MLE for the parameters of a log-linear model"

  

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Commits on Mar 30, 2014

• add algoritm RBM

  

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• update RBM model to show a great exampl!!

  

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• test

  

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• add BRM

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Commits on Nov 9, 2013

• add adaboost

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Commits on Oct 28, 2013

• update makefile

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• update margine

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• add 2 pdfs to explain perceptron

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• add perceptron

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Commits on May 6, 2013

• x[i][P] = (count[int(x[i][LABLE])]*1.0)/sample_count; add 1.0, thanks @TreapDB

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• use ALL

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• add em

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Commits on Apr 12, 2013

• Merge branch 'master' of github.com:pennyliang/MachineLearning-C---code

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• alpha beta gao fan le

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Commits on Apr 2, 2013

• add three papers

  

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Commits on Apr 1, 2013

• standard parameter

  

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