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We propose an approach to rapidly find the upper limit of separability between datasets that is directly applicable to HEP classification problems.
J. Neyman, E. Pearson, On the Problem of the Most Efficient Tests of Statistical Hypotheses . Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 231
1933
Earlier work this paper cites.
Shannon, Claude E. A Mathematical Theory of Communication , Bell System Technical Journal. 27
1948
Earlier work this paper cites.
Kullback, S., Leibler, R.A., On information and sufficiency , Annals of Mathematical Statistics. 22
1951
Earlier work this paper cites.
Kullback, S., Information Theory and Statistics. John Wiley & Sons, (1959)
1959
Earlier work this paper cites.
L.F. Kozachenko, N.N. Leonenko, A statistical estimate for the entropy of a random vector , Problemy Peredachi Informatsii 23
1987
Earlier work this paper cites.
Lin, J., Divergence measures based on the shannon entropy , IEEE Transactions on Information Theory, 37
1991
Earlier work this paper cites.
M. Richard, R. Lippmann, Neural network classifiers estimate Bayesian a posteriori probabilities , Neural Comput., 3
1991
Earlier work this paper cites.
T.M. Cover, J.A. Thomas, Elements of Information Theory , Wiley, New York, 1991
1991
Earlier work this paper cites.
R. Battiti, Using mutual information for selecting features in supervised neural net learning , IEEE Trans. Neural Netw., vol. 5, no.4, 1994
1994
Earlier work this paper cites.
G. van Rossum, Python tutorial , Technical Report CS-R9526, Centrum voor Wiskunde en Informatica (CWI), Amsterdam, May 1995
1995
Earlier work this paper cites.
G. Zhang, Neural Networks for Classification: A Survey , IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews, 30
2000
Earlier work this paper cites.
N. Kwak and C.H. Choi, Input feature selection for classification problems , IEEE Trans. Neural Netw., vol. 3, no.1, 2002
2002
Earlier work this paper cites.
I. Guyon, An Introduction to Variable and Feature Selection , Journal of Machine Learning Research 3
2003
Cited alongside, same era.
K. Torkkola, Feature Extraction by Non-Parametric Mutual Information Maximization , Journal of Machine Learning Research 3
2003
Cited alongside, same era.
A. Kraskov, H. Stögbauer, P. Grassberger, Estimating mutual information , Phys. Rev. E 69
2004
Cited alongside, same era.
V. Sindhwani, S. Rakshit, D. Deodhar, D. Erdogmus, J. Principe and P. Niyogi, Feature selection in MLPs and SVMs based on maximum output information , IEEE Trans. Neural Netw., vol. 15, no.4, 2004
2004
Cited alongside, same era.
F. Fleuret, Fast Binary Feature Selection with Conditional Mutual Information , Journal of Machine Learning Research 5 (2004)
2004
Cited alongside, same era.
DELPHES, a framework for fast simulation of a generic collider experiment (2009)
Ovyn, S., Rouby, X. & Lemaitre, V · 2009
Later among the works it cites.
MadGraph 5 : Going Beyond
Alwall, J. et al · 2011
Later among the works it cites.
2012
Later among the works it cites.
S. Foithong, O. Pinngern and B. Attachoo, Feature subset selection wrapper based on mutual information and rough sets , Expert Systems with Applications 39, 2012
2012
Later among the works it cites.
J. Vergara, P. Estévez, A Review of Feature Selection Methods Based on Mutual Information , Neural Computing & Applications, 24
2014
Later among the works it cites.
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H. Peng, F. Long and C. Ding, Feature selection based on mutual information: Criteria of max-dependency, max-relevance and min-redundancy , IEEE Trans. Pattern Anal. Mach. Intell. vol. 27, no.8, 2005
2005
Cited alongside, same era.
T. W. Chow and D. Huang, Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information , IEEE Trans. Neural Netw., vol. 16, no.1, 2005
2005
Cited alongside, same era.
K.E. Hild, D. Erdogmus, K. Torkkola and J.C. Principe, Feature extraction using information theoretic learning , IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no.9, 2006
2006
Cited alongside, same era.
PYTHIA 6.4 physics and manual
Sjostrand, T. et al · 2006
Cited alongside, same era.
B. Bonev, F. Escolano, M. Cazorla, Feature selection, mutual information, and the classification of high-dimensional patterns , Pattern Analysis and Applications”, 3
2008
Cited alongside, same era.
B. Bonev, F. Escolano, M. Cazorla Feature selection, mutual information, and the classification of high-dimensional patterns , Pattern Analysis and Applications, 11
2008
Cited alongside, same era.
P. Estévez, Normalized Mutual Information Feature Selection , IEEE Trans. Neural Netw., vol. 20, no.2, 2009
2009
Cited alongside, same era.
Baldi, P., P. Sadowski, and D. Whiteson, Searching for Exotic Particles in High-energy Physics with Deep Learning , Nature Communications 5 (July 2, 2014)
2014
Later among the works it cites.
Google Research, TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems , http://tensorflow.org/ , 2015
2015
Later among the works it cites.
F. Chollet, Keras , GitHub, https://github.com/fchollet/keras , 2015
2015
Later among the works it cites.
G. Ver Steeg, NPEET: Nonparamateric entropy estimation toolbox , https://github.com/gregversteeg/NPEET (2015)
2015
Later among the works it cites.
N. Carrara, E. Dohner, J. Ernst, Estimating an Upper Bound on Class Discrimination with the Jensen-Shannon Divergence , Poster, 36th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. July 10-15, 2016, Ghent, Belgium
2016
Later among the works it cites.
S. Delattre, N. Fournier, On the Kozachenko-Leonenko entropy estimator , arXiv:1602.07440, (2016)
2016
Later among the works it cites.
SciPy Developers, NumPy , https://github.com/numpy/numpy.git , 2017
2017
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