Examples of discretization

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They found that higher-dimensional splines offered significant improvements over standard discretization methods (although for dimensions higher than three, their algorithms are still very time-consuming).
The dimensions in the random walk discretization are all of the same importance since all the variances are identical to t.
For those cases with similar inputs and outputs, some of them can be removed as redundant cases after data discretization.
The application of the cell mapping method results in a list with all attractors (cyclic solutions) and classification of all discretization points into this list.
In this sense, we have obtained a discretization while maintaining complete integrability.
The discretization is made with respect to the time variable.
The distribution function at those positions must then be interpolated from its discretization on a grid.
However, discretization should be done in such a way to provide useful classification information with respect to the classes within an attribute's range.
In this work, a so-called more-than-enough strategy for multi-interval discretization is proposed.
A socalled more-than-enough strategy, which is used to facilitate the process of discretization, is introduced.
Approaches such as this follow the paradigm of discretization from the numerical analysis perspective.
But we postpone discretization on the test side for a while, noting that the above guideline calls for unsymmetric methods we deal with later.
To capture accurately the small-time shoreline behavior, we use a logarithmic temporal discretization.
The time discretization of the mechanical and the magnetic system is achieved by implicit time stepping algorithms.
In both cases, there is a domain discretization involved.
We begin with a description of the models and the discretization techniques for small systems in a static picture.
We also note that it is important to solve (2.2) using a high-order discretization method.
Equal width is one of the most frequently used unsupervised data discretization methods.

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