Active Learning for Accurate Estimation of Linear Models

It’s hard to write a poem when there’s no one person you’re thinking it’s for, it’s just a dirty day and a long walk looking for strangers that look famous so you feel like you

Nous souscrivons donc aux recommandations européennes les plus récentes concernant le traitement anticoagulant et antiagrégant des patients atteints de fibrillation auriculaire (et

unemployment increases of 1979-86 developed from steep decline in industrial employment and they were unevenly distributed and convert into high levels of regional nonwork in

For the small cohesive zone sizes (small scale yielding conditions), the computed values of the fracture load show a small difference between analytical and numerical approaches. In

We explore the range of parameter space for type II bursts constrained by our observations Assuming the rate of shocks is a lower limit to the rate at which CMEs occur, no detections

The main results about invariant equality are the theorem 2 about multiplicative relations, a formula of invariant equations for the Jordan cell, a theorem 6

With the application of deep learning techniques to computer vision domain, the choice of appropriate loss function for a task has become a critical aspect of the model training..

The lower bound of Theorem 4 (and earlier lower bounds by Vovk, 2001 and Takimoto and Warmuth, 2000) are proved in the case of feature vectors that are initially revealed to