classifier


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clas·si·fi·er

 (klăs′ə-fī′ər)
n.
A word or morpheme used in some languages in certain contexts, such as counting, that indicates the semantic class to which an item belongs. For example, hon is used in Japanese in counting long slender objects such as sticks or pencils.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

clas•si•fi•er

(ˈklæs əˌfaɪ ər)

n.
1. one that classifies.
2. a device for separating solids of different characteristics by controlled rates of settling.
3. a word or morpheme, as in Chinese or Japanese, that indicates a class of nouns and regularly accompanies any noun of that class in certain syntactic constructions, as in numeration.
[1810–20]
Random House Kernerman Webster's College Dictionary, © 2010 K Dictionaries Ltd. Copyright 2005, 1997, 1991 by Random House, Inc. All rights reserved.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.classifier - a person who creates classificationsclassifier - a person who creates classifications
thinker - someone who exercises the mind (usually in an effort to reach a decision)
2.classifier - a word or morpheme used in some languages in certain contexts (such as counting) to indicate the semantic class to which the counted item belongs
word - a unit of language that native speakers can identify; "words are the blocks from which sentences are made"; "he hardly said ten words all morning"
morpheme - minimal meaningful language unit; it cannot be divided into smaller meaningful units
Based on WordNet 3.0, Farlex clipart collection. © 2003-2012 Princeton University, Farlex Inc.
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Adversarial learning poses a severe cybersecurity threat in several domains that use machine learning-based classifier systems, including automated e-mail spam filters and antivirus software, image classification algorithms in defense and medical applications, and text-based sentiment analysis algorithms used on social media data.
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In [3], the researchers utilized Naive Bayes classifier and simplified the attributes according to the correlation between attributes and decisive attributes.
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[6] used a multiple classifier to recognize daily activities.
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