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ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...

Quantum computing, with its unique parallel computing ability and efficient optimization algorithm, provides new possibilities for the optimization of complex systems. This paper aims to explore the ...

Holy Cross Energy brings NREL algorithms out of the lab and into homes, setting a national example for grid control. Nearly every major U.S. city has set renewable energy goals that will require ...

Abstract: This paper presents a modified version of the ID3 algorithm. The goal is to build the decision tree for classifying the continuous data set. An example in the training data set composes of ...