Sentence examples for both categorization from inspiring English sources

The new product caches all text on the page, stores a thumbnail view, and allows both categorization (folders) and tagging of each bookmark.

The data suggest that both categorization and recognition in prototype distortion tasks appear to rely on the same underlying process.

Data from one participant were excluded from the analyses of both categorization and discrimination tasks because the slope of category boundary in the pre-TMS condition differed by >2 standard deviations from the mean and it was impossible to define between-category pairs.

With both categorizations, the results were the same: the exponential decrease group had significantly better survival compared with the nonexponential decrease groups in both stages II and III rectal cancer.

According to both categorizations of partially retained sealants, the survival of completely and partially retained resin composite sealants in occlusal and in smooth tooth surfaces was statistically significantly higher, and those of glass-carbomer sealants lower, than those of sealants of the other three groups.

Taking the view that the P3 reflects information updating in working memory [28], [29], it is logical that it should be affected by both lexical categorization focus and sustained attention.

People are prone, for example, to "representative" thinking and to "categorization," both often leading to false conclusions.

Owing to their mobility, their wide distribution across the Southeast Asian archipelago, and their inconsistent categorization both within and across political boundaries, it has been difficult to obtain a precise population figure for the Sama peoples; early 21st-century estimates were typically between 500,000 and 950,000, based on various social and linguistic criteria.

Experiments for both sentence-level categorization and review-level categorization have been performed.

Experiments for both sentence-level categorization and review-level categorization are performed with promising outcomes.

Extensive experiments on seven widely used benchmarks demonstrate that our HLBP methods are superior to the counterparts (e.g., B-CNN), achieving very competitive or better performance compared to state-of-the-arts on both fine-grained categorization and content-based image retrieval tasks.