Fetching the paper…

Reading the bibliography…

2011

A program for the Bayesian Neural Network in the ROOT framework

Zhong, Jiahang, Huang, Run-Sheng, Lee, Shih-Chang

Original
PDF
Post on X

Understand

We present a Bayesian Neural Network algorithm implemented in the TMVA package, within the ROOT framework.

Comparing to the conventional utilization of Neural Network as discriminator, this new implementation has more advantages as a non-parametric regression tool, particularly for fitting probabilities.
It provides functionalities including cost function selection, complexity control and uncertainty estimation.
An example of such application in High Energy Physics is shown.

A program for the Bayesian Neural Network in the ROOT framework · Around

Built on

G. Cybenko, Approximation by Superpositions of a Sigmoidal function, Mathematics of Control, Signals and Systems 2 (1989) 303–314
1989
Earlier work this paper cites.
K. Hornik, M. Stinchcombe, H. White, Multilayer feedforward networks are universal approximators, Neural Networks 2 (5) (1989) 359 – 366
1989
Earlier work this paper cites.
doi:10.1162/neco.1992.4.3.415
D. J. C. MacKay, Bayesian interpolation, Neural Computation 4 (3) (1992) 415–447 · 1992
Earlier work this paper cites.
R. M. Neal, Bayesian learning via stochastic dynamics, in: Advances in Neural Information Processing Systems 5, [NIPS Conference], Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1993, pp. 475–482
1993
Earlier work this paper cites.

Similar

D. J. C. MacKay, Probable networks and plausible predictions - a review of practical bayesian methods for supervised neural networks, Network: Computation in Neural Systems 6 (3) (1995) 469–505
1995
Cited alongside, same era.
R. Brun, F. Rademakers, Root – an object oriented data analysis framework, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 389 (1-2) (1997) 81 – 86, new Computing Techniques in Physics Research V
1997
Cited alongside, same era.
T. Sjostrand, S. Mrenna, P. Skands, Pythia 6.4 physics and manual, Journal of High Energy Physics 2006 (05) (2006) 026
2006
Cited alongside, same era.

Then

arXiv:physics/0703039
A. Hoecker, P. Speckmayer, J. Stelzer, J. Therhaag, E. von Toerne, H. Voss, TMVA: Toolkit for Multivariate Data Analysis, PoS ACAT (2007) 040 · 2007
Later among the works it cites.
L. Evans, P. Bryant, Lhc machine, Journal of Instrumentation 3 (08) (2008) S08001
2008
Later among the works it cites.
M. Aliev, et al
2011
Closest in time.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…