Sentence examples for categorization problem from inspiring English sources

In the literature, authorship attribution is studied as a text categorization problem where the writing styles of individuals are modeled based on their previously written sample documents.

The results on a wide set of UCI Machine Learning Repository data sets and in a real speed traffic sign categorization problem show that when the coding design satisfies the new ternary measures, significant performance improvement is obtained independently of the decoding strategy applied.

In any case, this type of categorization problem exists with any such data set; share your recommendations for how to make this clearer in the comments.

Evolutionary problem categorization, problem solving, and expertise are linked, as indicated by the significant associations among representative measures (Fig. 1, Table 3).

In [28] Schultz et al. proposed a hashtag-based categorization approach in order to test the applicability of several machine learning techniques in conjunction with relevant feature selection algorithms for the text categorization problem.

This categorization problem is also found in the Library of Congress.

A standard way to deal with multi-class categorization problems is by the combination of binary classifiers in a pairwise voting procedure.

Error-correcting output codes (ECOC) represent a successful framework to deal with multi-class categorization problems based on combining binary classifiers.

Besides, we show the temporal robustness of the novel salient regions in real video sequences, being potentially useful for matching, image retrieval, and object categorization problems.

Vendors end up making product roadmap decisions adding frivolous bells and whistles based on arbitrary categorization problems rather than prioritizing the pain the customers feel and designing a better product.

Audience: Contemporary colour naming research is radically interdisciplinary and Naming the Rainbow will be of interest to philosophers, psychologists, anthropologists, and cognitive scientists concerned with: biological constraints on cognition and categorization; problems inherent in cross-cultural and in interdisciplinary science; the nature and extent of cultural relativism.