Sentence examples for based classifier for the from inspiring English sources

In this work we describe the development of a validated whole blood based classifier for the assessment of obstructive CAD[ 6].

Similarly, in case the QUICKRBF based classifier predicts a residue to be conformationally ambivalent but the RVKDE based classifier makes an opposite prediction, then the hybrid predictor will check the predictions made by the RVKDE based classifier for the four adjacent residues.

In case the RVKDE based classifier predicts a residue to be conformationally ambivalent but the QUICKRBF based classifier makes an opposite prediction, then the hybrid predictor will check the predictions made by the QUICKRBF based classifier for the four adjacent residues.

Similarly, in the case where the QUICKRBF based classifier predicts a residue to be conformationally ambivalent but the RVKDE based classifier makes an opposite prediction, then the hybrid predictor will check the predictions made by the RVKDE based classifier for the four adjacent residues.

The paper presents novel modifications to radial basis functions (RBFs) and a neural network based classifier for holistic recognition of the six universal facial expressions from static images.

The CP and CM proteins assigned in this step were used as a training set for the development of LDA based classifier for CP and CM in a the next step.

This analytical theory allows to quickly estimate the parameters for optimal training of the distributed cell population based classifier for a given classification problem.

We have examined the optimal split of a set of samples into a training set and a test set in the context of developing a gene expression based classifier for a range of synthetic and real-world microarray datasets using a linear classifier.

However, as we have shown in "Bayesian based classifier for authentication" section, one possible way to address this limitation is to train the model using a group of adversarial users' data that do not include any specific adversary, which is more likely to be available.

Several studies have focused on construction of microarray based classifiers for prediction of various aspects of bladder cancer like stage [ 7, 8, 11, 17, 18], progression [ 7, 8, 19], recurrence [ 7], survival [ 18, 20], and treatment response [ 21].

Three different deterministic rule based classifier algorithms, for which the mathematical background is extensively described in the literature, were evaluated in the current study: (a) RIPPER (Repeated Incremental Pruning to Produce Error Reduction) [ 13] (b) RIDOR (RIpple-DOwn Rule) [ 14] and (c) PART [ 15].