Abstract: A powerful machine learning detector based on the k-nearest neighbors (KNN) algorithm is proposed to overcome system impairments. The zero-dispersion link (ZDL), dispersion managed link (DML ...

However, the sample distribution of KNN algorithm is uneven or the sample size is too large, which affects the accuracy and efficiency of the algorithm. To solve this problem, the KNN algorithm is ...

SimilariPy is primarily designed for Recommender Systems and Information Retrieval (IR) tasks, but can be applied to other domains as well. The package also includes a set of normalization functions ...

This is a refined and re-implemented version of the archived plugin for ElasticSearch elasticsearch-langdetect, which itself builds upon the original work by Nakatani ...

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! California Democrats vote to ...