Sentence examples for reduction in classification from inspiring English sources

This research proposes the adoption of the Artificial Bee Colony (ABC) as a novel method for data dimension reduction in classification problems.

The proposed algorithm was evaluated on three diverse datasets, namely TPCH, PKDD and UCI benchmarks and showed considerable reduction in classification time without any loss of prediction accuracy.

Because these classifiers assume normal distributions for each of the class densities, the discriminant analyses, and in particular QDA, which allows for different covariance matrices Σ c in the classes c, could show a reduction in classification performance for real, non-simulated data.

For some simulations, we implemented a typing error to assess any reduction in correct classification rate of RCAs.

After making changes, the department saw an 80 percent reduction in "unfounded" classifications.

We observe that, at the expense of a very slight reduction in the correct classification rate for color-mix images, our new classification strategy results in significant improvements of the correct classification rates of photo and mono-text documents.

Our methods can lead to, in some cases, 20% reduction in voice activity classification error, and 8 dB improvement on the output SINR.

In such cases, a permutation of two similar spiking windows leads to little reduction in the final classification of the permuted data.

The article proposes methods for dimensionality reduction and classification, in several stages, using gene expression data from two recent studies.

Since the 1st step of the method is rule based (unsupervised), the cross-validation is performed only on the 2nd step including both dimensionality reduction and classification in each fold.

This is an indicator of reduction in time required for classification.