A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining ...
Abstract: In 1997, we proposed the fuzzy-possibilistic c-means (FPCM) model and algorithm that generated both membership and typicality values when clustering unlabeled data. FPCM constrains the ...
Abstract: In this letter, a machine learning-based algorithm, K-nearest neighbor, is employed to predict the actual patterns of the linear arrays with arbitrary positions and varied element numbers.
Studying the epic journey of the iconic jumping plumber can lead to new insights in theoretical computer science—and may help ...
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 ...
For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...
A federal lawsuit accuses gas station operators in California of using AI-powered software to illegally collude and raise ...
When the Leiden Declaration on Artificial Intelligence and Mathematics went live on 2 June 2026, things moved quickly. The ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Consider the words "man", "woman", "boy", and "girl". Two of them refer to males, and two to females. Also, two of them refer to adults, and two to children. We can ...
Minh K. Quan, Pubudu N. Pathirana Cordon-MAS: Defending RAG against Knowledge Poisoning via Information-Flow Control Zhe Yu, Wenpeng Xing, Gaolei Li, Shuguang Xiong, Hongzhi Wang, Xuyang Teng, Meng ...
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