Similar words: training, straining, retraining, sending data, opening date, spring training, constraining, training ship.
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1) The adaptive detector does not require training data sequences.
2) Raw data preprocessing, the size of training data, as well as the size of input vectors have been studied separately, to find out the best parameter set of BP neural network prediction.
3) A training data consists of a discretepoint and whether this design point is feasible or infeasible.
4) In order to solve the problem existing in training data sets, present Bayes algorithm is im- proved and an algorithm using unlabeled data to improve the capability of the classifier is proposed.
5) The training data were acquired through the orthogonal experiment method, and the networks were trained.
6) The new algorithm is computationally simple and standalone in some sense that a self-training scheme can be used without employing any other training data.
7) A crucial issue in triphone-based continuous speech recognition is the large number of parameters to be estimated against the limited availability of training data.
8) Supervised learning is tasked with learning a function from labeled training data in order to predict the value of any valid input.
9) To further reduce the time pressure for a larger training data set,[http://sentencedict.com/training data.html] the algorithm creates a smaller training data set via the primary model based on a stratified sample.
10) The proposed scheme adopts the Gaussian probability model to depict the parameters of SVM, and updates the parameters of SVM based on the incremental learning SVM without saving the training data.
11) The method presents an optimal metric distance function based on a simple cluster and a little training data and by learning a distance metric M that respects these relationships.
12) At first, the negative data is divided into several parts accumulatively according to the geometric distribution of the training data.
13) The target model is used to search class characters based on analysis of training data.
14) Methods to achieve the smallest sized network which can learn the training data within a given error bound are analyzed.
15) So the reduced training set affects neither the edge training data nor the performance of FSVMs.
16) This name must be used again in the Classification Workbench, where you have to choose a field that contains the document text of your training data.
17) This node cannot be unchecked because the predicted entity must be included in the training data.
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