Sentence examples for most other classification from inspiring English sources

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Contrary to most other classification methods and due to the way data are represented through kernels, SVMs can tackle high dimensional data (for example microarray data).

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You can even subdivide further and put "Movie Soundtrack", "Broadway Cast Recordings", "TV Show Soundtrack", etc. Don't worry about most other genre classifications however (Rock, Pop, Indie).

When the sample size is small, as is often the case in microarray studies, KNN is also suitable to use as Ripley [ 32] indicates that most other non-parametric classification methods, such as kernel density estimation based methods, aim to model the class-conditional densities and thus need a very large training set to be successful.

Within the EPIC cohort, as in most other studies, the classification of breast cancer as receptor-positive and -negative (ER, PR or joint ERPR) is based upon a variety of laboratory assay types and quantification methods, reflecting pathology practices across Europe and time.

The fractures were defined as a buckle if it was rated as such by at least 6 of the 8 most experienced doctors on both readings The overall interobserver reliability of this fracture classification is better than most other reported agreement for fracture classification systems in adults.

In most other studies Tubiana's classification was used to classify the stage of the disease.

That is why SVM classifier is called the maximum-margin hyperplane and this is the most distinguishing characteristic compared to other classification algorithms.

Like the scheduling of most other illegal substances, MDMA's classification is not based in much scientific truth.

Differences could be due to the narrow age span of the men under study; also, we applied a more detailed SEP classification than in most other studies.

In most datasets SVM and RBF neural nets performed better than other classification methods.

Quantile classification most closely represents the input data trends that are poorly represented using other classification methods, such as Jenks-Natural breaks, equal interval, standard deviation, and geometric classifications.

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