Sentence examples for collection of classification from inspiring English sources

where C∗(i) represents any collection of classification probabilities for the i th syllable, and n is the range parameter controlling the extent of the context.

Under the random forest approach, observations are considered similar if they tend to converge in the same terminal node in a suitably constructed collection of classification and regression trees (Breiman 2001; Liaw and Wiener 2012).

The probability vector P i) for the i th sample is constructed as follows: P ( i ) = [ C ∗ ( i - n ), ⋯, C ∗ ( i - 1 ), C ∗ ( i ), C ∗ ( i + 1 ), ⋯, C ∗ ( i + n ) ], (2) where C∗(i) represents any collection of classification probabilities for the i th syllable, and n is the range parameter controlling the extent of the context.

A Random Forest is a collection of classification trees that are randomized by training on a bootstrap sample of the training data and also using only a subset of M (< N) of the variables.

The enterprise taxonomy is a collection of classifications and a set of descriptive word and phrase entries.

While catalogs aim to identify and list items in a collection, schemes of classification have a more general application in arranging documents in a sequence that will make sense and be helpful to the user.

Computational experiments on a collection of benchmark classification problems shows improvement on the original HERF, and other state-of-the-art approaches.

Our results demonstrate that using the SSVM is more effective than the traditional approach of decomposing the problem into a collection of binary classification problems.

The Weka machine learning software [ 22], which includes a collection of supervised classification methods, is adopted to address the task of DNA Barcode analysis.

The Weka software suite, which includes a collection of supervised classification methods, is adopted to address the task of DNA Barcode analysis.

We built a random forest model based on a collection of 500 classification trees with each individual tree built from a bootstrap sample of the original 2,107 donor-patient pairs.