Back Talk - Looking Backwards O'Donnell, Jim
Against the grain (Charleston, S.C.),
12/2022, Volume:
34, Issue:
6
Journal Article
Peer reviewed
O'Donnell discusses his early days of using the internet. He states that one day in 1990, his colleague Rick Hamilton from the Bryn Mawr College Greek Department had an idea of publishing a new book ...review journal in classics and he suggested to send the journal via email. Back then, only a few people had emails. But he stuck with his email idea and Hamilton humored him. Their first issue with a dozen reviews (stooged up from academic friends they asked to write about something they had just been reading) was available in print and went out by email as well on November 26, 1990.
Robust Large Margin Deep Neural Networks Sokolic, Jure; Giryes, Raja; Sapiro, Guillermo ...
IEEE transactions on signal processing,
2017-Aug.15,-15, 2017-8-15, Volume:
65, Issue:
16
Journal Article
Peer reviewed
Open access
The generalization error of deep neural networks via their classification margin is studied in this paper. Our approach is based on the Jacobian matrix of a deep neural network and can be applied to ...networks with arbitrary nonlinearities and pooling layers, and to networks with different architectures such as feed forward networks and residual networks. Our analysis leads to the conclusion that a bounded spectral norm of the network's Jacobian matrix in the neighbourhood of the training samples is crucial for a deep neural network of arbitrary depth and width to generalize well. This is a significant improvement over the current bounds in the literature, which imply that the generalization error grows with either the width or the depth of the network. Moreover, it shows that the recently proposed batch normalization and weight normalization reparametrizations enjoy good generalization properties, and leads to a novel network regularizer based on the network's Jacobian matrix. The analysis is supported with experimental results on the MNIST, CIFAR-10, LaRED, and ImageNet datasets.
Safety critical systems involve the tight coupling between potentially conflicting control objectives and safety constraints. As a means of creating a formal framework for controlling systems of this ...form, and with a view toward automotive applications, this paper develops a methodology that allows safety conditions-expressed as control barrier functions-to be unified with performance objectives-expressed as control Lyapunov functions-in the context of real-time optimization-based controllers. Safety conditions are specified in terms of forward invariance of a set, and are verified via two novel generalizations of barrier functions; in each case, the existence of a barrier function satisfying Lyapunov-like conditions implies forward invariance of the set, and the relationship between these two classes of barrier functions is characterized. In addition, each of these formulations yields a notion of control barrier function (CBF), providing inequality constraints in the control input that, when satisfied, again imply forward invariance of the set. Through these constructions, CBFs can naturally be unified with control Lyapunov functions (CLFs) in the context of a quadratic program (QP); this allows for the achievement of control objectives (represented by CLFs) subject to conditions on the admissible states of the system (represented by CBFs). The mediation of safety and performance through a QP is demonstrated on adaptive cruise control and lane keeping, two automotive control problems that present both safety and performance considerations coupled with actuator bounds.
This title is a study of the causes of spam, the behaviours associated to the generation of and the exposure to spam, as well as the protection strategies. The new behaviours associated to electronic ...communications are identified and commented. Have you ever felt overwhelmed by the numbers of e-mail and textual messages in your inbox, be it on your laptop, your smartphone or your PC? This book should help you in finding a wealth of answers, tools and tactics to better surf the ICT wave in the professional environment, and develop proper protection strategies to mitigate your exposure to spam in any form.
Event extraction (EE) is a crucial research task for promptly apprehending event information from massive textual data. With the rapid development of deep learning, EE based on deep learning ...technology has become a research hotspot. Numerous methods, datasets, and evaluation metrics have been proposed in the literature, raising the need for a comprehensive and updated survey. This article fills the research gap by reviewing the state-of-the-art approaches, especially focusing on the general domain EE based on deep learning models. We introduce a new literature classification of current general domain EE research according to the task definition. Afterward, we summarize the paradigm and models of EE approaches, and then discuss each of them in detail. As an important aspect, we summarize the benchmarks that support tests of predictions and evaluation metrics. A comprehensive comparison among different approaches is also provided in this survey. Finally, we conclude by summarizing future research directions facing the research area.
In times of vaccine hesitancy and decreasing immunization coverage, it is crucial to exploit the potential of digital solutions to support immunization programmes and ultimately increase vaccine ...uptake. Scant evidence exists on the impact of email-based immunization reminders. In particular, while email communication is exponentially increasing at the global level, its use for health communication is still sporadic and limited data exists on its application to immunization programmes. The objective of this study is to systematically retrieve and critically appraise the available literature on the effectiveness of email-based reminders to increase vaccine uptake, with the ultimate aim to inform and encourage its integration in the implementation of immunization programmes.
We conducted a systematic review of literature following the PRISMA. We included studies providing quantitative comparative data on any measure of vaccine uptake. We extracted data on study design, study population, vaccine type and details of email-based interventions; data were pooled by type of comparison (no reminders, traditional reminders, other digital reminders).
Eleven studies were included, 90% with experimental study designs. While email communication succeeds in increasing vaccine uptake when compared with no intervention, weak and heterogeneous data exist supporting the superiority of email reminders, as compared to traditional methods or other digital reminders. Encouraging evidence report the effectiveness of reminder methods combining different strategies and tailored to target populations’ preferences.
Theoretically, email communication offers many advantages: it is cheaper and faster, it can be automated and linked to electronic immunization registries, and reach people on the move. As we urge the need for further research to prove email communication impact on vaccine uptake in different settings, we underline the importance of identifying how to best integrate email communication in vaccine delivery equipping immunization programmes with technical infrastructures and normative frameworks suitable to embrace innovation.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ
All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the ...professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind / Double-blind / Triple-blind / Open / Other (please describe) Single blind • Conference submission management system: By email received from the organizing and editorial committee of the conference. The correspondence authors make the submission by email. • Number of submissions received: 25 • Number of submissions sent for review: 24 • Number of submissions accepted: 22 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 88.00% • Average number of reviews per paper: 2 reviews per paper • Total number of reviewers involved: 12 • Any additional info on review process: All papers are plagiarism checked by Turnitin software • Contact person for queries: Ely Dannier V. Niño Foundation of Researchers in Science and Technology of Materials (FORISTOM) Email: info@foristom.org
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