Abstract: The k-nearest neighbor (kNN) algorithm is a classic supervised machine learning algorithm. It is widely used in cyber-physical-social systems (CPSS) to analyze and mine data. However, in ...
Abstract: Nuclear power plants (NPPs) are complex dynamic systems with multiple sensors and actuators. The presence of faults in the actuators and sensors can deteriorate the system’s performance and ...
IMPORTANT NOTE (09/21/2017): This GitHub repository contains the code examples of the 1st Edition of Python Machine Learning book. If you are looking for the code examples of the 2nd Edition, please ...
Header-only C++ HNSW implementation with python bindings, insertions and updates. init_index(max_elements, M = 16, ef_construction = 200, random_seed = 100, allow_replace_deleted = False) initializes ...