Sentence examples for selection for classification from inspiring English sources

This paper illustrates the use of ME network structure to guide model selection for classification of electroencephalogram (EEG) signals.

This paper illustrates the use of combined neural network model to guide model selection for classification of electrocardiogram (ECG) beats.

A GA is a global search technique and has been shown to be useful for optimization problems and problems concerning optimal feature selection for classification [56].

This paper illustrates the use of modified mixture of experts (MME) network structure to guide model selection for classification of Doppler ultrasound signals with diverse features.

This paper illustrates the use of modified mixture of experts (MME) network structure to guide model selection for classification of electrocardiogram (ECG) beats with diverse features.

Here, we consider three options: Use the model for feature selection for classification also.

There are some other classifications based on clonal selection algorithms such as CLONCLAS (CLONal selection algorithm for CLASsification) which is mostly used in character recognition.

The concept of MSCAT was first proposed by Cronbach and Gleser (1957) in a personnel selection context for classification rather than measurement purposes.

This amounts to applying a relaxed Fisher criterion as a feature selection step for classification.

Selection criteria for classification of subtypes are shown in Table  3 according to the 2011 St Gallen Consensus Conference [ 13] and a modification of the original classification by Perou et al. [ 8].

Here, we utilize fast correlation-based filter (FCBF) as previous experiments [ 30] suggest that FCBF is an efficient and fast feature selection algorithm for classification of high dimensional data.