Sentence examples for interactive classification from inspiring English sources

Exact(3)

In [6], Dos Santos J.A. et al. proposed a method for interactive classification of remote sensing images considering multiscale segmentation.

In collaboration with the partners from MSU and UC-Berkeley, Yang presented a new interactive classification data model (UNIC structure) to manage hierarchical classification data, and proposed a general comparison methodology for different classification trees and various types of dendrograms (Zhong et al., 1996, 1997).

One approach is to go beyond dichotomous keys (for example, Michael McDarby has created an interactive classification key online at http://faculty.fmcc.suny.edu/mcdarby/Pages/ClassificationKey/ClassificationIntro.htm) by having students use these keys to construct tree diagrams, depicting each decision node as a branching point on the tree.

Similar(57)

In this paper, we analyze Yelp users with a slightly deeper perspective of social interaction and study impacts of this social interactive behavior on classification of spammers and non-spammers.

PsychTable.org will be an interactive, user-friendly classification system which aims to organize empirical evidence that supports and challenges purported evolved psychological adaptations, and presents them all in one neutral, authoritative location on the Web for further examination, hypothesis testing, dialogue, criticism, and investigation.

At the same time the classifications 'woman' and 'man' are what Hacking calls "interactive kinds": gender classifications occur within a complex matrix of institutions and practices, and being classified as a woman (or not), or a man (or not), or third, fourth, fifth sex/gender or not, has a profound effect on an individual.

Results support our proposed classification of interactive behaviors, extend previous findings on the enactment effect into a computer environment, and suggest the importance of considering the design of interactive tasks in the development of multimedia learning materials.

PlantOrDB offers highly interactive visualization, accurate query classification and powerful search functions useful for functional genomic research.

An interactive diagram presents the classification and facilitates database search by clicking on any of the genotype boxes.

Based on the SNP classification and interactive prioritization, a user can compute the functional impact of multiple SNPs using two prediction tools, one for differential analysis of transcription factor binding (sTRAP) and another for SNPs with potential impact on binding of miRNAs (MicroSNiPer).

A conceptual model of the visualization support to DM modeling process and a novel interactive visual decision tree (IVDT) classification process have been proposed in this paper, with the aim of exploring humans' pattern recognition ability and domain knowledge to facilitate the knowledge discovery process.

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