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The Monte Carlo analysis as a simulation uses random numbers and probability to solve problems.
First of all, in order to segment the objects from the background (namely image pre-processing), an improved maximum between-class variance method is proposed for searching a histogram peak and calculating a threshold value based on the statistics and probability, to solve the problems caused by the non-uniform brightness in a realistic conveyor belt.
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Instead of a family of Dirac delta masses that is widely used in Monte Carlo methods, we here use the Wiener chaos expansion for the parametrization of the conditioned probability distribution to solve the nonlinear filtering problem.
Others depart from standard probability theory, like Dempster-Shafer theory (Shafer 1976; see entry on formal representations of belief), a variant of probability theory meant to solve the problem of the priors and make other improvements.
4. WRAP-UP/HOMEWORK: Individually, students create three of their own probability problems and to solve them.
To find the optimal weights of the equalizer which minimize this error probability, we have to solve the following equation: (9).
Mr. Solomonoff went on to pioneer the application of probability theory to solving artificial intelligence problems.
This was the earliest problem in geometric probability to be solved.
It has been argued that this skill precedes the understanding of probability [ 69] although even children with the capacity to reason using probabilities have been found to prefer to use magnitude judgements to solve probability tasks [ 70].
Buy books or CDs or DVDs; take full courses or short refresher classes; browse the Web (where I found an enlightening video on how to solve probability problems).
Subsequently, participants had to solve probability calculation problems like those presented in the video example.
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