This report describes the physics case, the resulting detector requirements, and the evolving
detector concepts for the experimental program at the Electron-Ion Collider (EIC). The EIC …

The rapid recent progress in machine learning (ML) has raised a number of scientific
questions that challenge the longstanding dogma of the field. One of the most important …

The remarkable practical success of deep learning has revealed some major surprises from
a theoretical perspective. In particular, simple gradient methods easily find near-optimal …

Recent substantial advances in high-throughput field phenotyping have provided plant
breeders with affordable and efficient tools for evaluating a large number of genotypes for …

A new edition of a graduate-level machine learning textbook that focuses on the analysis
and theory of algorithms. This book is a general introduction to machine learning that can …

Understanding the expression of human emotional states plays a prominent role in
interactive multimodal interfaces, affective computing, and the healthcare sector. Emotion …

Abstract In an earlier paper [9], we introduced a new “boosting” algorithm called AdaBoost
which, theoretically, can be used to significantly reduce the error of any learning algorithm …

In the first part of the paper we consider the problem of dynamically apportioning resources
among a set of options in a worst-case on-line framework. The model we study can be …

Pattern recognition has long been studied in relation to many different (and mainly
unrelated) applications, such as remote sensing, computer vision, space research, and …

We consider the problem of dynamically apportioning resources among a set of options in a
worst-case on-line framework. The model we study can be interpreted as a broad, abstract …