Sentence examples for minimum classification error from inspiring English sources

This letter presents a minimum classification error learning formulation for a single-layer feedforward network (SLFN).

The mother wavelet is optimized with the criterion of minimum classification error, as estimated from the learning signal set.

A weighted linear combination rule, called adapted minimum classification error (AMCE), is developed to concurrently minimize the classification errors and the log likelihood errors.

The minimum classification error (MCE) framework is an approach to discriminative training for pattern recognition that explicitly incorporates a smoothed version of classification performance into the recognizer design criterion.

The experimental results show a minimum classification error rate of 4.2%, and the precision of identification of the formats was greater than 91% for the four video formats whose fragment size was 256 KB.

In the proposed LSROPC, the learned dictionary can not only preserve local data structures, but also require the reconstruction of a pattern to get as close as possible to the prototype optimized by the minimum classification error (MCE) approach.

minimum classification error-Gaussian mixture model.

Then, the detection of received signal can be formulated to determining a separating hyper-plane which divides the two-group pattern objects in a multidimensional features space, under the minimum classification errors [42].

Applying traditional supervised learning algorithms that solve minimum classification errors will provide inaccurate classification results.

The threshold criteria for gene selection by PAM were that the candidate genes were with the minimum classification errors, which number was lower than 100.

Therefore, syndrome-based surveillance frequently results in classification errors.