Other machine learning algorithms examples would include, but are not limited to: association rule learning; boosting; bootstrap aggregation; computer vision; decision tree; clustering; neural ...

Data mining algorithm selection: decision trees The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well ...

We consider ranking and clustering problems related to the aggregation of inconsistent information, in particular, rank aggregation, (weighted) feedback arc set in tournaments, consensus and ...

What are the advantages of logistic regression over decision trees? This question was originally answered on Quora by Claudia Perlich.

An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move.

We introduce a new divisive clustering algorithm which has features that are in common with both Ward's agglomerative algorithm and classification and regression trees. We analyse British Household ...

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.