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Third, the assessments of the statistics of identified loads are obtained based on statistical theory.
Second, it develops theoretical performance models of ML bit synchronization and decoding based on statistical theory.
This paper presents an efficient stochastic model updating method based on statistical theory.
However, SVM does not belong to ANN [20], and it is a new machine-learning method based on statistical theory.
In addition, the theoretical performance models of ML bit synchronization and decoding are developed based on statistical theory.
The current estimation methods based on statistical theory could not be used to estimate this kind of small samples.
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SMO is widely used for training support vector machines (SVM) [42], a machine learning method based on statistical theories in which an optimal hyperplan is created to distinguish categories.
Among them, support vector machine (SVM) is one of the popular learning algorithms based on statistical learning theory [ 27].
The calculation of AUC was based on statistical moment theory.
Support vector regression based on statistical learning theory was developed by Vapnik (1995).
SVM was developed in 1995 [21] based on statistical learning theory by Vapnik Chervonenkis.
More suggestions(15)
based on statistical similarity
based on statistical profiling
based on statistical confidence
based on statistical modeling
based on ontogenetic theory
based on similitude theory
based on statistical risk
based on statistical searching
based on statistical error
based on statistical moment
based on statistical feature
based on statistical validation
based on statistical learning
based on statistical modelling
based on statistical analysis
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