ahsan2010

#!/usr/bin/env python3
# vim: sta:et:sw=2:ts=2:sts=2 :

from copy import deepcopy as kopy
import sys,random

"""
Scott-Knot test + non parametric effect size + significance tests.
Tim Menzies, 2019. Share and enjoy. No warranty. Caveat Emptor.

ahsan2010

##############################
## Java
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.mtj.tmp/
*.class
*.jar
*.war
*.ear
*.nar
hs_err_pid*

ahsan2010

1. Feature Learning

• Learning Feature Representations with K-means by Adam Coates and Andrew Y. Ng
• The devil is in the details: an evaluation of recent feature encoding methods by Chatfield et. al.
• Emergence of Object-Selective Features in Unsupervised Feature Learning by Coates, Ng
• Scaling Learning Algorithms towards AI Benjio & LeCun
• A Theory of Feature Learning by Brendan van Rooyen, Robert C. Williamson

2. Deep Learning

• Dropout: A Simple Way to Prevent Neural Networks from Overfitting by Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever and Ruslan Salakhutdinov
• [Understanding