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 ...

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 ...

Uncle Nearest has been wrapped up in a lawsuit, on the Black-owned whiskey brand's financial turmoil, for several months. While it remains at risk of foreclosure, new reports show that asset ...

block-insertion-theorem is a reproducible reference implementation of a combinatorial result about block insertion and counting linear extensions of posets. The repository provides a formal JSON ...

Abstract: Memory-based classification techniques are commonly used for modeling recommendation problems. They rely on the intuition that similar users and/or items behave similarly, facilitating ...

You then repeat the process until every book is in its proper place. Insertion Sort takes a smarter approach. Instead of dragging the largest item to the end, it builds a sorted section piece by piece ...

When the streaming giant began making films guided by data that aimed to please a vast audience, the results were often generic, forgettable, artless affairs. But is there a happy ending? When the ...

To complete the task of automatic recognition and classification of thyroid nodules and solve the problem of high classification error rates when the samples are ...