"Jump discontinuities" in visual plots led to use of data mining decision trees as an ideal form of analysis useful in obtaining a profit exploration pattern from the British Columbia database.

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

For example, a decision with an outcome of $150,000 that costs $20,000 to attempt is dangerous if your business can't afford to lose $20,000. Eliminate outcomes with unaffordable attached risks.

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Helping robots make good decisions in real time Caltech's algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move Date: December 5, 2024 ...

The authors’ approach is based on differences between assembly op-code frequencies in malware and benign classes. They have also utilized decision tree algorithms to simplify the classification.