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- W1566562953 abstract "If the data vector for input to an automatic classifier is incomplete, the optimal estimate for each class probability must be calculated as the expected value of the classifier output. We identify a form of Radial Basis Function (RBF) classifier whose expected outputs can easily be evaluated in terms of the original function parameters. Two ways are described in which this classifier can be applied to robust automatic speech recognition, depending on whether or not the position of missing data is known." @default.
- W1566562953 created "2016-06-24" @default.
- W1566562953 creator A5042377686 @default.
- W1566562953 date "2000-01-01" @default.
- W1566562953 modified "2023-09-26" @default.
- W1566562953 title "A neural network for classification with incomplete data" @default.
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