Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box!

MRPT is a lightweight and easy-to-use library for approximate nearest neighbor search. It is written in C++11 and has Python bindings. The index building has an integrated hyperparameter tuning ...

Machine learning algorithms in Python are considered the spine of present-day artificial intelligence because they go beyond classical programming techniques and are able to perform innovative and ...

Selecting the appropriate data cluster can substantially affect the outcome of the classification process because the KNN process' output is dependent on the training data. In order to determine the k ...

Continuous monitoring of k Nearest Neighbor (kNN) queries has attracted significant research attention in the past few years. A safe region is an area such that as long as a kNN query remains in ...

Abstract. In this paper, sixty-eight research articles published between 2000 and 2017 as well as textbooks which employed four classification algorithms: K-Nearest-Neighbor (KNN), Support Vector ...