One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

Articles Publish at December 16 2020 Updated June 26 2025 Global warming, class warfare and tree mortality in French forests 50 shades of mistletoe: when trees cultivate dominant/dominated ...

The algorithms examined include decision trees, K-nearest neighbors, random forests, support vector machines, XGBoost, gradient boosting, and bagging. Gradient boosting achieves the highest global ...

Efficient methods for evaluation of piecewise functions defined over convex polyhedral partitions are proposed. As an important application, the explicit model predictive control problem is considered ...

In this chapter, we use a search tree structure to efficiently implement a sorted map. The three most fundamental methods of a map M are M[k] implemented with __getitem, M[k] = v using __setitem__ and ...

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

A great example of this algorithm is binary search. After each unsuccessful comparison with the middle element in the array, we divide the search space in half. The algorithm converges extremely ...

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