Unsupervised clustering analysis of online shopper behaviour using K-Means and Gaussian Mixture Models (GMM) on the UCI Online Shoppers Purchasing Intention dataset.

Some of the most important tasks of visual and motor systems involve estimating the motion of objects and tracking them over time. Such systems evolved to meet the behavioral needs of the organism in ...

Gaussian Mixture Model GMM (unsupervised): GMMs allow for soft-clustering, and have shown greater accuracy in image classification than hard-clustering methods [7]. COMPLETED Random Forest (supervised ...

AMD is in a celebratory mood after AI research firm Zyphra successfully trained its cutting-edge, large-scale Mixture-of-Experts (MoE) model, ZAYA1, entirely on AMD’s accelerated computing platform, ...

ABSTRACT: This work describes a data integration model using the Statistical Matching methodology (hot deck distance) to integrate two surveys conducted by ISTAT (EU-SILC) and the Bank of Italy ...

What if the most complex AI models ever built, trillion-parameter giants capable of reshaping industries, could run seamlessly across any cloud platform? It sounds like science fiction, but Perplexity ...

Oct 29 (Reuters) - Amazon.com (AMZN.O), opens new tab said on Wednesday it has launched its compute cluster project called Rainier, and added that artificial intelligence firm Anthropic will use more ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

International Center for Synchrotron Radiation Innovation Smart (SRIS), Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai 980-8577, Japan Graduate School of Engineering, Tohoku University, 6-6-2, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present a spin-adapted coupled cluster singles and doubles model for the excitation ...