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Keywords
(3)
Feature Extraction
Information Theory
Relative Entropy
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Information theory and statistics
Information theory and statistics,Solomon Kullback
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Information theory and statistics
(
Citations: 2316
)
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Solomon Kullback
Entropy and
relative entropy
are proposed as features extracted from symbol sequences. Firstly, a proper Iterated FunctionSystem is driven by the sequence, producing a fractaMike representation (CSR) with a low computational cost. Then, twoentropic measures are applied to the CSR histogram of the CSR and theoretically justified. Examples are included.
Published in 1968.
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(
adsabs.harvard.edu
)
Citation Context
(719)
...The less is the information distance between the hypotheses (for example, Kullback's distance; Kullback,
1978
), the more carefully must be chosen the values of the loss function in the classical Bayesian problem...
K. J. Kachiashvili
,
et al.
Sensitivity Analysis of Classical and Conditional Bayesian Problems of...
...The notion of entropy minimization over a convex set of probability distributions has its origins in the information theoretic work of Kullback (
1959
) and Jaynes (
1957
)...
Cyrus Seera Ssebugenyi
,
et al.
On the Minimal Entropy Martingale Measure and Multinomial Lattices wit...
...Very useful information can be obtained on the informative set of APs (bioactive points), calculated according to statistical analysis methods such as that of Kulback (
1959
)...
Riad AlKasasbeh
,
et al.
Prediction and prenosological diagnostics of heart diseases based on e...
...Very useful information can be obtained on the informative set of AP (bioactive points), calculated according to statistical analysis methods such as that of Kulback (
1959
)...
Riad AlKasasbeh
,
et al.
Prediction of gastric ulcers based on the change in electrical resista...
...To further compare estimators that show similar performance regarding RMSE and
D
50, the Kullback–Leibler (KL)
30
divergence will be used...
Noslen Hernández
,
et al.
A nonBayesian predictive approach for statistical calibration
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Citations
(2316)
Sensitivity Analysis of Classical and Conditional Bayesian Problems of Many Hypotheses Testing
(
Citations: 1
)
K. J. Kachiashvili
,
M. A. Hashmi
,
A. Mueed
Journal:
Communications in Statisticstheory and Methods  COMMUN STATISTTHEOR METHOD
, vol. 41, no. 4, pp. 591605, 2012
On the Minimal Entropy Martingale Measure and Multinomial Lattices with Cumulants
Cyrus Seera Ssebugenyi
,
Ivivi Joseph Mwaniki
,
Virginie S. Konlack
Journal:
Applied Mathematical Finance
, vol. aheadofp, no. aheadofp, pp. 121, 2012
Prediction and prenosological diagnostics of heart diseases based on energy characteristics of acupuncture points and fuzzy logic
Riad AlKasasbeh
,
Nikolay Korenevskiy
,
Florin Ionescou
,
Mahdi Alshamasin
,
Alexander Kuzmin
Journal:
Computer Methods in Biomechanics and Biomedical Engineering  COMPUT METHODS BIOMECH BIOMED
, vol. 15, no. 7, pp. 681689, 2012
Prediction of gastric ulcers based on the change in electrical resistance of acupuncture points using fuzzy logic decisionmaking
Riad AlKasasbeh
,
Nikolay Korenevskiy
,
Mahdi Alshamasin
,
Florin Ionescou
,
Andrew Smith
Journal:
Computer Methods in Biomechanics and Biomedical Engineering  COMPUT METHODS BIOMECH BIOMED
, vol. aheadofp, no. aheadofp, pp. 112, 2012
A nonBayesian predictive approach for statistical calibration
Noslen Hernández
,
Rolando J. Biscay
,
Isneri Talavera
Journal:
Journal of Statistical Computation and Simulation  J STAT COMPUT SIM
, vol. 82, no. 4, pp. 529545, 2012