Automatic induction of decision trees and production rules from data to develop structure−activity models for toxicity prediction has recently received much attention, and the majority of ...

This paper presents a new method for building a trained classifier integrated circuit from a completely automated dataset. The dataset is constructed using a 5-bit binary number, with 32 words ...

23andMe lets you build a family tree, but doesn’t provide a way to export it. I wanted to preserve and build on this data using proper genealogy tools — and now you can too. With this tool you can ...

We prove that for any decision tree calculating a Boolean function f : {-1,1}/sup n/ /spl rarr/ {-1, 1}, Var [f] /spl les/ /spl Sigma/ /sub i=1/ /sup n/ /spl delta//sup i/Inf/sub i/ (f), i = 1 where ...

Decision tree algorithms have been successfully applied to various agricultural contexts, such as classifying raisins by size, shape, color, and texture (Raihen & Akter, 2024), identifying data types ...

When I read “flow”, I immediately thought of Eliyahu Goldratt, who, in his theory of constraints, redefines business performance around a simple idea: what matters is not what you produce or your ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...