Jan 18, 2018 · This paper provides support for a new idea that discretized features should often be used in addition to existing features and as such, datasets should be ...
Feb 9, 2018 · This paper provides support for a new idea that discretized features should often be used in addition to existing features and as such, datasets ...
Jan 4, 2018 · This paper provides support for a new idea that discretized features should often be used in addition to existing features and as such, datasets ...
Using discretization for extending the set of predictive features. https://doi.org/10.1186/s13634-018-0528-x · Full text. Journal: EURASIP Journal on Advances ...
This paper provides support for a new idea that discretized features should often be used in addition to existing features and as such, datasets should be ...
To date, attribute discretization is typically performed by replacing the original set of continuous features with a transposed set of discrete ones.
Dec 1, 2023 · The idea behind discretization is to transform a continuous feature into discrete features. Why, when, and how would you do that? Let's understand this today.
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Jan 9, 2019 · The issue is that features in general can behave quite differently after discretization than in their raw forms. Discretization both masks information and also ...
Missing: extending predictive
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Avi Rosenfeld, Ron Illuz, Dovid Gottesman, Mark Last: Using discretization for extending the set of predictive features. EURASIP J. Adv. Signal Process.