Evolutionary algorithms have emerged as a robust alternative to traditional greedy approaches for decision tree induction. By mimicking the natural selection process, these algorithms iterate over ...

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 ...

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 ...

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

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

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.

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 ...