The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Alibaba's AgentEvolver lifts model performance in tool use by ~30% using synthetic, auto-generated tasks

The new framework from Tongyi Lab enables agents to create their own training data by exploring and interacting with new ...
IEEE

Multi-target data association method via T-S negative hesitation fuzzy model

Abstract: To address the challenge of data association under uncertainty due to overlapping feature value ranges of multiple targets, we present a novel multi-target data association algorithm based ...
IEEE

Model-Data Hybrid Driven Control of Hydraulic Euler–Lagrange Systems

Abstract: As hydraulic Euler–Lagrange systems evolve to encompass high-dimension and intricate structures, the formulation of the mechanical dynamics model becomes impractical, even though the ...