Results 271 to 280 of about 649,705 (315)
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Errors in probability updating behaviour

Journal of Economic Psychology, 1998
Abstract It is an empirical fact of life that decision makers make errors in probability updating. In this paper we develop a model to measure this error in a consistent and comparable way (i.e. across different cases the same scale of measurement is involved).
Ouwersloot, J.   +2 more
openaire   +1 more source

The Probability Distribution of Conditional Classification Error

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980
The probability distribution of the error incurred by a classification system on a given data set is derived. It is shown that the distribution is mixed binomial. A method for calculating the mixed binomial distribution recursively is proposed.
Josef Kittler, Pierre A. Devijver
openaire   +3 more sources

Probability Errors

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
openaire   +1 more source

Intersymbol interference and error probability

IEEE Transactions on Information Theory, 1966
Using 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
openaire   +1 more source

Relations between entropy and error probability

IEEE Transactions on Information Theory, 1994
Summary: The relation between the entropy of a discrete random variable and the minimum attainable probability of error made in guessing its value is examined. While Fano's inequality provides a tight lower bound on the error probability in terms of the entropy, we derive a converse result -- a tight upper bound on the minimal error probability in ...
Meir Feder, Neri Merhav
openaire   +2 more sources

Truncation Error Probability in Viterbi Decoding

IEEE Transactions on Communications, 1977
An upper bound on the bit error probability due to truncation of the path length in Viterbi decoding is obtained for any given convolutional code. This bound is then used to determine the path length at which the additional error probability due to truncation becomes negligible compared to the maximum likelihood decoding error probability.
Farhad Hemmati, Daniel J. Costello Jr.
openaire   +2 more sources

Error Probabilities for Bounded Distance Decoding

Designs, Codes and Cryptography, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreas Faldum   +3 more
openaire   +2 more sources

On the probability of error of convolutional codes

IEEE Transactions on Information Theory, 1996
Summary: New upper and lower bounds and approximations on the sequence, event, first event, and bit-error probabilities of convolutional codes are presented. Each of these probabilities are precisely defined and the relationship between them described. Some of the new bounds and approximations are found to be very close to computer simulations at very ...
openaire   +1 more source

Probability of Error Bounds

IEEE Transactions on Systems, Man, and Cybernetics, 1971
Lainiotis, D. G., Park, S. K.
openaire   +2 more sources

Probability and Errors.

The Statistician, 1983
A. R. Tricker, S. K. Muthu
openaire   +1 more source

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