Call it a “nightshade”—A hierarchical classification approach to identification of hallucinogenic Solanaceae spp. using DART-HRMS-derived chemical signatures

Talanta ◽  
2019 ◽  
Vol 204 ◽  
pp. 739-746 ◽  
Author(s):  
Samira Beyramysoltan ◽  
Nana-Hawwa Abdul-Rahman ◽  
Rabi A. Musah
Keyword(s):  
Hierarchical Classification ◽  
Classification Approach ◽  
Chemical Signatures

A hierarchical classification approach to automated essay scoring

2015 ◽  
Vol 23 ◽  
pp. 35-59 ◽  
Author(s):  
Danielle S. McNamara ◽  
Scott A. Crossley ◽  
Rod D. Roscoe ◽  
Laura K. Allen ◽  
Jianmin Dai
Keyword(s):  
Hierarchical Classification ◽  
Automated Essay Scoring ◽  
Classification Approach ◽  
Essay Scoring

scholarly journals Hierarchical Classification Using Binary Data

AI Magazine ◽  
2019 ◽  
Vol 40 (2) ◽  
pp. 59-65
Author(s):  
Denali Molitor ◽  
Deanna Needell
Keyword(s):  
Hierarchical Structure ◽  
Binary Data ◽  
Hierarchical Classification ◽  
Hierarchical Data ◽  
Classification Problems ◽  
Classification Approach ◽  
Hierarchical Relationship ◽  
Class Labels ◽  
Number Of Classes

In classification problems, especially those that categorize data into a large number of classes, the classes often naturally follow a hierarchical structure. That is, some classes are likely to share similar structures and features. Those characteristics can be captured by considering a hierarchical relationship among the class labels. Motivated by a recent simple classification approach on binary data, we propose a variant that is tailored to efficient classification of hierarchical data. In certain settings, specifically, when some classes are significantly easier to identify than others, we show case computational and accuracy advantages.

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