Sentence examples for suitable for classifying from inspiring English sources

Exact(11)

It is suitable for classifying very large data sets and follows a non linear kernel method.

Combinatorially equivalent designs yield the same ICs, so that ICs are suitable for classifying factorial designs with qualitative factors.

The limitation of QER is that it is only suitable for classifying two classes since it is especially developed for sentiment analysis with the observation that sentiment-expressing words are usually more frequent across different reviews.

Among the several kernel functions used in SVM such as linear, polynomial, and radial basis kernel functions (RBF), the RBF is most often used since it is suitable for classifying multidimensional data.

To demonstrate that gene sequence classification tools are suitable for classifying malware, we apply Strand to approximately 500 GB of malware data provided by the Kaggle Microsoft Malware Classification Challenge (BIG 2015) used for predicting nine classes of polymorphic malware.

Because such small-sized lymph nodes dominate in a clinical scenario, texture features might not be suitable for classifying a small size mediastinal lymph node from PET/CT images.

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Similar(49)

From the above explanation, we can see C ̃ k in Equation 45 is a suitable criterion for classifying the target local patch into the optimal cluster kopt.

As a result, the MSEPF-MMSF might not be the most suitable one for classifying such images that contain very small objects.

This strategy takes advantage of existing curated gene families of reference species to find suitable parameters for classifying genes in related genomes.

Numerous abbreviated variations of the AUDIT may be a suitable alternative to the AUDIT-10 for classifying high-level alcohol problems in a community-based population of young Australians.

Our results suggest that numerous variations of the AUDIT scale may be a suitable alternative to the AUDIT-10 for classifying harmful and hazardous drinking in this sample of young people.

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