In this paper, an objective function-based clustering algorithm is modified to yield a discretization of numerical variables that overcomes these problems. The ...
Abstract. Decision tree learner inspect marginal class distributions of numerical attributes to infer a predicate that can be used as a decision node in the ...
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To accurately handle strongly discontinuous conditions in numerical calculations, a mixed nodal finite element scheme and a higher‐order accurate temporal ...
Mar 30, 2021 · Where I have issues now is on how to discretize the function using a numerical scheme in order to reduce the function to systems of equations.
To solve the heat-transfer optimization problem with the discretize-then-optimize technique, we discretize the problem first in both space and time. To ...
In the discretization process, continuous values are partitioned into a finite number of intervals, each of which is represented by an integer or symbol [33].
In applied mathematics, discretization is the process of transferring continuous functions, models, variables, and equations into discrete counterparts.
Feb 28, 2023 · Abstract. We use sensitivity analysis to design optimality-based discretization (cutting-plane) methods for the.
In this paper, we review previous work on con- tinuous feature discretization, identify de n- ing characteristics of the methods, and con- duct an empirical ...
This paper introduces a robust optimization framework based on domain discretization concerning the dataset, constructing near-optimal solution sets for each ...