Four years of research led to a specific decision tree data mining algorithm yielding best results. Results obtained from the BC database were excellent, revealing $4.7 billion (US) in high ...

However, Decision Trees can suffer from high variance and instability, which can be addressed by Bagging and Random Forests. Bagging involves generating multiple trees on bootstrapped samples of the ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data ... are Naive Bayes, Decision Tree, Logistic Regression ...

Now, a team of Caltech researchers has developed an analogous algorithm for autonomous robots -- a planning and decision ... Tree Search (SETS), in the December cover article of the journal ...