Jun Shao, On Resampling Methods for Variance and Bias Estimation in Linear Models, The Annals of Statistics, Vol. 16, No. 3 (Sep., 1988), pp. 986-1008 ...

The analysis highlights a mixed performance record for predictive models, with significant variability depending on the ...

Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI ...

We review machine learning methods employing positive definite kernels. These methods formulate learning and estimation problems in a reproducing kernel Hilbert space (RKHS) of functions defined on ...

Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI.