Curated daily from arXiv and Hugging Face
Elahe Ghalebi, Baharan Mirzasoleiman, Radu Grosu et al. · 2018-05-27
Can evolving networks be inferred and modeled without directly observing their nodes and edges? In many applications, the edges of a dynamic network might not be observed, but one can observe the dynamics of stochastic cascading processes (e.g., info...
Omar Rivasplata, Emilio Parrado-Hernandez, John Shawe-Taylor et al. · 2018-06-18
PAC-Bayes bounds have been proposed to get risk estimates based on a training sample. In this paper the PAC-Bayes approach is combined with stability of the hypothesis learned by a Hilbert space valued algorithm. The PAC-Bayes setting is used with a ...
Yasutaka Narazaki, Vedhus Hoskere, Tu A. Hoang et al. · 2018-06-18
This paper investigates the automated recognition of structural bridge components using video data. Although understanding video data for structural inspections is straightforward for human inspectors, the implementation of the same task using machin...
Peter L. Bartlett, David P. Helmbold, Philip M. Long · 2018-02-16
We analyze algorithms for approximating a function $f(x) = \Phi x$ mapping $\Re^d$ to $\Re^d$ using deep linear neural networks, i.e. that learn a function $h$ parameterized by matrices $\Theta_1,...,\Theta_L$ and defined by $h(x) = \Theta_L \Theta_{...
Isabel Funke, Alexander Jenke, Sören Torge Mees et al. · 2018-06-18
In order to provide the right type of assistance at the right time, computer-assisted surgery systems need context awareness. To achieve this, methods for surgical workflow analysis are crucial. Currently, convolutional neural networks provide the be...
