XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

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

Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...

Abstract: Data clustering is a fundamental machine learning task that seeks to categorize a dataset into homogeneous groups. However, real data usually contain noise, which poses significant ...

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 ...

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

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 ...

Older patients represent the fastest growing patient group in clinical care. They are a heterogeneous group, for whom evidence for making treatment decisions is often scarce. Important domains for ...

SINGAPORE – The share of families with monthly incomes of at least $30,000 has almost doubled in the past five years, with about one in seven households earning this amount in 2025. In 2025, 13.4 per ...

Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Anthropic Fable dispute suggests ‘export’ no longer means what it used to Technology export rules have historically applied to transfer of source code, but with genAI, agentic and other SaaS ...