Sentence examples for in multiple classification from inspiring English sources

In multiple classification tasks, participants (primarily children, who have already developed or are in the process of developing this skill) must classify objects in several different ways at once - thereby thinking flexibly about them.

To circumvent these problems and boost the reliability of the classifier we used a consensus prediction approach, which requires a gene to be classified as CM in multiple classification runs that use different dataset definitions.

A second challenge would be to test in parallel multiple classification models and to select the best one, which dynamically better matches observed measurements.

In the Multiple Classification Card Sorting Task, children are shown cards and asked to sort them based on two different dimensions (e.g. by color, such as yellow and blue, and object type, such as animals and food) simultaneously into four piles within a matrix (e.g. yellow animals, yellow foods, blue animals and blue foods).

We present a hybrid representation of architectural precedents that separates precedent instances from the concepts they embody, where the concepts are defined in terms of multiple classification taxonomies.

p o : window overlap, which specifies the amount of overlap (in time units) in case multiple classifications are performed for each detection.

Variation in intensity of COPE-M in RTI was assessed using multiple classification analysis (MCA).

Multivariate analysis of the variation in intensity of COPE-M in RTI was performed using multiple classification analysis (MCA) for these cases [ 19].

To identify the "race" attribute in a face image, a multiple classification is used under the "one versus all" scheme, where the objects of the "Caucasian" class are identified first based on the proposed modification of the binary classification, and then the remaining objects are classified as either "Asian" or "Black".

Multiple classification algorithms implemented in Partek software (St .Louis, Missouri, USA) were applied to the training set subgroups to construct classifiers that can correctly distinguish between MS and NonMS patients.

Following the hypothesis that transcription factors work cooperatively to define gene expression, in this work we propose a multiple Classification and Regression Tree (CART) approach to identify new Wnt/β-catenin pathway target genes within the human genome, based on the presence of transcription factor binding site motifs in their regulatory regions.