attribute


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attribute to (someone or something)

To cite as the source or reason for something. A noun or pronoun can be used between "attribute" and "to." I attribute my success to lots of hard work. That famous saying is usually, and incorrectly, attributed to Shakespeare. You'll lose points if you fail to attribute quoted material in your term paper to the correct sources.
See also: attribute, to
Farlex Dictionary of Idioms. © 2024 Farlex, Inc, all rights reserved.

attribute something to someone or something

to ascribe something to someone or something; to believe that someone or something is the source of something. We attribute our success to your good advice. I attribute all these ill-mannered memos to Andrew.
See also: attribute, to
McGraw-Hill Dictionary of American Idioms and Phrasal Verbs. © 2002 by The McGraw-Hill Companies, Inc.
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References in periodicals archive ?
Let c: VxV [right arrow] [0, i] be the attribute value contradiction (dissimilarity) degree function (that we introduce now for the first time) between any two attribute values [v.sub.1] and [v.sub.2], denoted by
c([v.sub.1], [v.sub.2]) = 0, the contradiction degree between the same attribute values is zero;
She put 'Ounces', 'Tons', and 'Pounds' cards under the measurable attribute Weight (Figure 4).
Teacher: So I'll give you the next one [Teacher places the card with a measurable attribute 'Volume' on the table].
GOAT: ATTRIBUTE: Unity BORN: 2015, 2003, 1991, 1979, 1967 THIS YEAR: Take a long look at your own well-being this year .
MONKEY: ATTRIBUTE: Changeability BORN: 2016, 2004, 1992, 1980, 1968 THIS YEAR: this is the year you learn to not let your past hold you back.
In this paper, the numerical attributes are divided into three categories [34]: (1) nominal attribute, it refers to only a set of numerical symbols, such as ID card number, which does not have a meaningful order, and is not quantitative; (2) ordinal attribute, its possible values have the meaningful orders or ranking, but the difference between successive is unknown; (3) general numerical attribute, its possible values are measurable, such as age and height.
The calculation method of e_ij can be referred to (3), where n is the number of data tuple and count(A = a_i) is the count of value a J which appeared in the A attribute.
Use of multi attribute transforms to predict log properties from seismic data.
Keywords: Artificial Neural Network; Petrophysical analysis; Porosity prediction; seismic attributes, Prospective zones.