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Deep Learning (DL) innovations are being introduced at a rapid pace. However, the current lack of standard specification of DL tasks makes sharing, running, reproducing, and comparing these innovations difficult. To address this problem, we…

Machine Learning · Computer Science 2020-02-27 Abdul Dakkak , Cheng Li , Jinjun Xiong , Wen-Mei Hwu

It has been a long time that computer architecture and systems are optimized for efficient execution of machine learning (ML) models. Now, it is time to reconsider the relationship between ML and systems, and let ML transform the way that…

Machine Learning · Computer Science 2022-02-25 Nan Wu , Yuan Xie

The INTEGRAL ground segment is divided into operational and scientific components. The operational component consists of the Mission Operations Centre, the ground stations and communications lines while the scientific component comprises of…

This paper describes a new framework in educational technology - the World Wide Student Laboratory (WWSL) Project. WWSL is a dynamic international Internet-based collaboration of resourses of educational and research labs of universities,…

Physics Education · Physics 2007-05-23 A. Arodzero

We present a review of the basic ideas and techniques of the spectral density functional theory which are currently used in electronic structure calculations of strongly-correlated materials where the one-electron description breaks down.…

Strongly Correlated Electrons · Physics 2009-11-11 G. Kotliar , S. Y. Savrasov , K. Haule , V. S. Oudovenko , O. Parcollet , C. A. Marianetti

Requirements engineering plays a critical role in developing software systems. One of the most difficult tasks in this process is identifying functional requirements. A critical problem in many projects is missing requirements until late in…

Software Engineering · Computer Science 2020-04-02 Sabah Al-Fedaghi

Machine Learning (ML) techniques are encountered nowadays across disciplines, from social sciences, through natural sciences to engineering. The broad application of ML and the accelerated pace of its evolution lead to an increasing need…

This paper aims to define, quantify, and analyze the feature complexity that is learned by a DNN. We propose a generic definition for the feature complexity. Given the feature of a certain layer in the DNN, our method disentangles feature…

Machine Learning · Computer Science 2023-12-04 Jie Ren , Mingjie Li , Zexu Liu , Quanshi Zhang

Practically all of the planning research is limited to states represented in terms of Boolean and numeric state variables. Many practical problems, for example, planning inside complex software systems, require far more complex data types,…

Artificial Intelligence · Computer Science 2023-01-02 Mojtaba Elahi , Jussi Rintanen

The article describes a course on system design (structural approach) which involves the following: issues of systems engineering; structural models; basic technological problems (structural system modeling, modular design,…

Software Engineering · Computer Science 2015-03-19 Mark Sh. Levin

Writing complex computer programs to study scientific problems requires careful planning and an in-depth knowledge of programming languages and tools. In this chapter the importance of using the right tool for the right problem is…

Computational Physics · Physics 2010-06-17 Helmut G. Katzgraber

Over the last three decades, various didactic proposals have been published in an attempt to connect theory and research findings with the design of Teaching-Learning Sequences (TLS) in various contexts. Many studies have analysed the…

Physics Education · Physics 2024-04-23 Jenaro Guisasola , Kristina Zuza , Jaume Ametller , Paulo Sarriugarte

We introduce a unified theoretical framework for the rigorous analysis and systematic construction of deep neural networks (DNNs). This framework addresses a gap in existing theory by explicitly modeling the structure of tensor operations…

A new generation of educational mathematics software is being shaped in ThEdu and other academic communities on the side of computer mathematics. Respective concepts and technologies have been clarified to an extent, which calls for…

History and Overview · Mathematics 2019-04-19 Walther Neuper

Educational resource understanding is vital to online learning platforms, which have demonstrated growing applications recently. However, researchers and developers always struggle with using existing general natural language toolkits or…

Computation and Language · Computer Science 2024-06-05 Zhenya Huang , Yuting Ning , Longhu Qin , Shiwei Tong , Shangzi Xue , Tong Xiao , Xin Lin , Jiayu Liu , Qi Liu , Enhong Chen , Shijing Wang

This paper introduces AFDL, a logic-based framework for reasoning about safety, security, and defense interactions in Attack-Fault-Defense Trees, which is a model that captures all safety, security, and defense domains in a single…

Logic in Computer Science · Computer Science 2025-07-31 Reza Soltani , Stefano M. Nicoletti , Milan Lopuhaä-Zwakenberg , Mariëlle Stoelinga

We describe the software requirements and development methodology developed for the NLC control system. Given the longevity of that project, and the likely geographical distribution of the collaborating engineers, the planned requirements…

Accelerator Physics · Physics 2007-05-23 G. R. White , H. Shoaee

The growing complexity of software systems and the influence of software-supported decisions in our society awoke the need for software that is transparent, accountable, and trustworthy. Explainability has been identified as a means to…

Software Engineering · Computer Science 2021-08-09 Larissa Chazette , Wasja Brunotte , Timo Speith

This short paper gives an introduction to a research project to analyze how digital documents are structured and described. Using a phenomenological approach, this research will reveal common patterns that are used in data, independent from…

Digital Libraries · Computer Science 2014-08-12 Jakob Voß
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