Results 211 to 220 of about 600,202 (264)
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On the estimation of probability of error
1974 IEEE Conference on Decision and Control including the 13th Symposium on Adaptive Processes, 1974This paper considers the problem of estimation of classification error in Pattern Recognition. A Theorem is presented to obtain the changes in the eigenvalues and eigenvectors of matrices of the form S2 -1 S1, when there are changes of first order of smallness in the real Symmetric matrices Si, i=1, 2.
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Problems of Information Transmission, 2005
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Rossitza Dodunekova +1 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rossitza Dodunekova +1 more
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Circular Error Probables for Moving Targets: The Dynamic Error Probable
Journal of Guidance, Control, and Dynamics, 2016In this note we extend the static shooter accuracy Circular Error Probable (CEP) model to deal with moving targets. Our proposed model, the Dynamic Error Probable (DEP), computes shooter aiming and directional uncertainty error statistics by fitting three-dimensional gaussians to shooter behaviour and generating error corridors about the target ...
Chris Stewart +3 more
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Renyi's entropy and the probability of error
IEEE Transactions on Information Theory, 1978The basic properties of Renyi's entropy are reviewed, and its concavity properties are characterized. New bounds (referred to as I_{\alpha} bounds) on the probability of error are derived from Renyi's entropy and are compared with known bounds. It is proved that for the two-class case, the I_{2} bound is sharper than many of the previously known bounds.
Moshe Ben-Bassat, Josef Raviv
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Probability of Error for Quadratic Detectors
Bell System Technical Journal, 1965A procedure is presented for evaluating the performance of a general class of digital detectors which square or multiply signal waves contaminated by gaussian noise. In addition to simplifying and unifying the treatment of a number of previously solved problems and some hitherto unsolved ones, the method achieves a considerable advance toward a ...
Mazo, J. E., Salz, J.
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Conditional entropy and error probability
2008 IEEE International Symposium on Information Theory, 2008Fano's inequality relates the error probability and conditional entropy of a finitely-valued random variable X given another random variable Y. It is not necessarily tight when the marginal distribution of X is fixed. In this paper, we consider both finite and countably infinite alphabets.
Siu-Wai Ho, Sergio Verdú
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2014
This chapter provides an overview of three probability errors and their impact on legal scholarship. Overoptimism causes people to underestimate their likelihood of experiencing negative events, to overestimate their likelihood of experiencing positive events, and to be overly confident in each of these judgments. Overoptimism can help explain numerous
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This chapter provides an overview of three probability errors and their impact on legal scholarship. Overoptimism causes people to underestimate their likelihood of experiencing negative events, to overestimate their likelihood of experiencing positive events, and to be overly confident in each of these judgments. Overoptimism can help explain numerous
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The Effect of Phase Error on DPSK Error Probability
IEEE Transactions on Communications, 1981Expressions are found for the effect of an error in the delay of the preceding signal, which provides the reference phase for the decoding of the present signal in differential phase-shift-keying reception. The signal-to-noise ratio is allowed to be different for the two signals that are compared by the receiver's phase detector.
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Measurement Errors in Probability Judgments
Management Science, 1996This paper investigates the psychometric properties of three measures of subjective uncertainty—a zero-to-hundred subjective probability scale and two seven point rating scales. Individual level analysis applied to data obtained from two separate studies suggests that the scales produce fairly similar results: The inter-response mode correlations were
OFIR, Chezy, REDDY, Srinivas K.
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Intersymbol interference and error probability
IEEE Transactions on Information Theory, 1966Using a criterion of minimum average error probability we derive a method for specifying an optimum linear, time invariant receiving filter for a digital data transmission system. The transmitted data are binary and coded into pulses of shape \pm s(t) .
M. R. Aaron, Donald W. Tufts
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