This paper presents an open-source implementation of PL-kNN, a parameterless version of the k-Nearest Neighbors algorithm. The proposed model, developed in Python 3.6, was designed to avoid the choice ...

Utilizing the malware dataset and the SVM and KNN methods, which consists of 500 rows and 6 attribute columns, the accuracy of spyware detection is determined. This dataset was collected from the well ...

The code can be found in the repository, it can be downloaded as ZIP by clicking in the geen Code button. The only necessary file is the notebook confidence.ipynb. To successfully run the notebook, ...

Reflex has built an open source framework to make it easy to turn Python code into a we app. Today it announced a $5M seed investment.

However, the traditional kNN algorithm used in kNN-MT simply retrieves a same number of nearest neighbors for each target token, which may cause prediction errors when the retrieved neighbors include ...

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 ...

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 Machines (SVM) ...