Rule learning with monotonicity constraints

  title={Rule learning with monotonicity constraints},
  author={Wojciech Kotlowski and Roman Slowinski},
In classification with monotonicity constraints, it is assumed that the class label should increase with increasing values on the attributes. In this paper we aim at formalizing the approach to learning with monotonicity constraints from statistical point of view. Motivated by the statistical analysis, we present an algorithm for learning rule ensembles. The algorithm first "monotonizes" the data using a nonparametric classification procedure and then generates a rule ensemble consistent with… CONTINUE READING
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