Sentence examples for inputs features and from inspiring English sources

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Each of these applications works within the standard speech recognition machinery, which uses hidden Markov models (HMMs) to model the acoustics, mel-frequency cepstral coefficients (MFCCs) for the models' inputs (features), and multivariate normals for the hidden states' marginal distributions.

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Therefore, the application effects of different input features and data-mining classifiers are compared first.

The experimental results showed the proposed approach can correctly select the discriminating input features and also achieve high classification accuracy.

The system interpolates the tensors defined by input features and input curves by solving a Laplace-Beltrami partial differential equation over the entire domain.

This paper proposed an effort to investigate the suitability of input features and classifier for identifying thermal faults within electrical installations.

Physical properties such as Young's modulus and section inertias were chosen as the input features and modal frequency was the only response feature.

The ensemble of classifiers is built by diversifying the input features and varying the initialization of the weights of the neural network.

Different topologies were created with various combinations of multiple input features, and an error indicator was calculated for each combination of topologies.

The method involves screening out non-relevant assembly parameters using IV-optimal designs and the preload of the joints is chosen as the input features and modal frequency is the only response feature.

Genetic algorithms (GAs) based evolutionary strategy is proposed for classification problems, which includes two aspects: evolutionary selection of the training samples and input features, and evolutionary construction of the neural network classifier.

We implemented a multi-layered approach based on 365-day concrete compressive strength data with eight input features and the optimized MLA-ANFIS topology (5-3-1) for this purpose from different ANFIS topologies and neural networks.

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