Sentence examples for supervised model from inspiring English sources

Half of these data were used for supervised model adaptation.

The results show that unlabeled data results in improvement in classification accuracy over the supervised model.

The pure supervised model can construct a very accurate predictive model from data streams.

Two case studies are provided for performance evaluation of the proposed method, both in comparison with the conventional supervised model.

We train a supervised model using neural network and backpropagation algorithm for classifying users and reviews as fraud and genuine.

We studied theoretically matrix factorization by turning it from a trainable supervised model into a generative probabilistic model.

From the facial-linguistic aspect, the methods as [21] are aiming on the recognition of linguistic phenomena themselves in a supervised model-based manner, thus requiring linguistic annotations.

However, supervised models require available inputs, and missing inputs affect the inferring process in the output.

And while supervised models allow for more control over bias in data selection, that control can introduce human bias into the process.

First, while typed dependency examples improved classification in the majority of the supervised models, they also illustrated how specific predictive terms are related to event-related contexts.

Ott et al. [32] take up the approach with supervised models of Naive Bayesian classifier to fraud detection in online reviews.