As users, computers, data and processes become increasingly mobile and the diversity of interacting devices increases, pervasive computing tasks are difficult to predict and to u...
This paper investigates the correlation between acoustic confidence scores as returned by speech recognizers with recognition quality. We report the results of two machine learni...
Architectural advancements in modern processor designs increase average performance with features such as pipelines, caches, branch prediction, and out-of-order execution. However...
Quantitative analysis of the swimming motions of C. elegans worms are of critical importance for many gene-related studies on aging. However no automated methods are currently in u...
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any ...