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Discretization

Known as: Discretization method, Discretisation, Dichotomization 
In mathematics, discretization concerns the process of transferring continuous functions, models, and equations into discrete counterparts. This… Expand
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Papers overview

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Highly Cited
2017
Highly Cited
2017
The reparameterization trick enables optimizing large scale stochastic computation graphs via gradient descent. The essence of… Expand
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Highly Cited
2010
Highly Cited
2010
A dimension reduction method called discrete empirical interpolation is proposed and shown to dramatically reduce the… Expand
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Highly Cited
2010
Highly Cited
2010
Resonant controllers have gained significant importance in recent years in multiple applications. Because of their high… Expand
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Highly Cited
2004
Highly Cited
2004
The task of extracting knowledge from databases is quite often performed by machine learning algorithms. The majority of these… Expand
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Highly Cited
2003
Highly Cited
2003
We propose to perform turbulent flow simulations in such manner that the difference operators do have the same symmetry… Expand
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Highly Cited
2002
Highly Cited
2002
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more… Expand
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Highly Cited
2002
Highly Cited
2002
For fractional-order differentiator s/sup r/ where r is a real number, its discretization is a key step in digital implementation… Expand
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Highly Cited
1995
Highly Cited
1995
Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant attributes. This… Expand
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Highly Cited
1993
Highly Cited
1993
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the… Expand
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Highly Cited
1992
Highly Cited
1992
Many classification algorithms require that the training data contain only discrete attributes. To use such an algorithm when… Expand
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