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Field Theoretical Tools for Polymer and Particle Physics
Neural networks and confidence limit estimates
other
Author(s):
Bernd A. Berg
,
Ion-Olimpiu Stamatescu
Publication date
(Print):
1998
Publisher:
Springer Berlin Heidelberg
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The Jackknife, the Bootstrap and Other Resampling Plans
Bradley Efron
(1982)
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THE USE OF CONFIDENCE OR FIDUCIAL LIMITS ILLUSTRATED IN THE CASE OF THE BINOMIAL
C. J. CLOPPER
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E. PEARSON
(1934)
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Self-Organization and Associative Memory
Teuvo Kohonen
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Book Chapter
Pages
: 173-191
DOI:
10.1007/BFb0106885
SO-VID:
6b85afbb-7501-4a99-81bc-9d8aa866c649
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Book chapters
pp. 1
Random walks in polymer physics
pp. 25
Random walks in field theory
pp. 45
Polymer expansion in particle physics
pp. 68
Polymers, spin models and field theory
pp. 78
Reaction-diffusion mechanisms and quantum spin systems
pp. 103
Bosonization in particle physics
pp. 115
Hadronization in particle physics
pp. 122
The hybrid monte carlo algorithm for quantum chromodynamics
pp. 133
The hybrid monte carlo method for polymer chains
pp. 143
Simulations of toy proteins
pp. 155
Two lectures on phase mixing: Nucleation and symmetry restoration
pp. 173
Neural networks and confidence limit estimates
pp. 192
The gross-neveu model and QCDs chiral phase transition
pp. 231
The TBA, the gross-neveu model, and polyacetylene
pp. 240
Solitons in polyacetylene
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