IEEE

MSecKNN: Maliciously Secure Outsourced KNN Classification Under Multiple Distance Metrics

Abstract: With the evolution of artificial intelligence and cloud computing, data owners are increasingly motivated to outsource their data and machine learning services to the cloud. As a practical ...
Scientific Research Publishing

Zhang, S., Li, X., Zong, M., Zhu, X. and Cheng, D. (2017) Learning k for KNN Classification. ACM Transactions on Intelligent Systems and Technology, 8, 1-19.

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...
Scientific Research Publishing

Guo, G., Wang, H., Bell, D., Bi, Y. and Greer, K. (2003) KNN Model-Based Approach in Classification. In: Meersman, R., Tari, Z. and Schmidt, D.C., Eds., Lecture Notes in ...

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...
GitHub

knearest-neighbor-algorithm

This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...
GitHub

Classifier-Balancing

The long-tail distribution of the visual world poses great challenges for deep learning based classification models on how to handle the class imbalance problem. Existing solutions usually involve ...