Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Opinion: Harry’s U.K. Trip Plans Face Questions Amid Security Dispute

On Saturday morning in California, barely 20 hours after the Sussex office sent out a minute-by-minute rundown of everything ...
Nature

What is the expectation maximization algorithm?

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

AI Can’t Fix the Student-Motivation Problem

In a 2023 TED Talk watched by millions of people, the American educator and entrepreneur Sal Khan declared that AI was about ...
IEEE

Optimized Data Fusion for Kernel k-Means Clustering

Abstract: This paper presents a novel optimized kernel k-means algorithm (OKKC) to combine multiple data sources for clustering analysis. The algorithm uses an alternating minimization framework to ...
IEEE

Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering

Abstract: Class imbalance problem has been extensively studied in the recent years, but imbalanced data clustering in unsupervised environment, that is, the number of samples among clusters is ...