Workshop on “ Theoretical Foundations of Data Science ( TFoDS ) ”
نویسنده
چکیده
1. Executive Summary The workshop on “Theoretical Foundations of Data Science (TFoDS): Algorithmic, Mathematical, and Statistical” took place on Thursday, April 28 through Saturday, April 30, 2016, at the Hilton Arlington Hotel in Virginia. The workshop’s objective was the identification of important research challenges that strengthen and broaden the mathematical, statistical, and algorithmic foundations of data science; the discussion of potential opportunities for collaboration between these communities; and the investigation of workforce challenges and infrastructure development.
منابع مشابه
Effectiveness of Teaching General Courses on Theoretical Foundations of Islam on Religious Identity and Academic Resilience of Sports Science Students at Ilam University
Background and objectives: Promoting the theoretical foundations of Islam has a role in determining the individual and social behavior of students. Therefore, this study aimed to investigate the effect of teaching general courses on the theoretical foundations of Islam on the religious identity and academic resilience of Sports Science students at Ilam University. Materials and Methods: The me...
متن کاملFUSE 2004 Workshop on Foundations of Unanticipated Software Evolution – Working Proceedings –
These are the working proceedings of the FUSE workshop (http://joint.org/use/) at ETAPS 2004. The papers contained herein have been accepted by the FUSE program committee and improved according to the suggestions of the reviewers. After the workshop, updated versions based on feedback from workshop participants will be published in ENTCS. This preface gives a short overview of the workshop topi...
متن کاملCoding Theory Meets Theoretical Computer Science
Theoretical computer scientists have been plying their skills in coding theory since the late 1980s, focusing primarily on the design of faster decoding algorithms. Over the last few years, techniques have begun to flow in the other direction as well, with errorcorrecting codes proving to be useful tools for the solution of problems in theoretical computer science. Ample evidence of the flows i...
متن کاملSpecial Issue on Statistical and Learning-Theoretic Challenges in Data Privacy
The workshop brought together researchers from a variety of areas in statistics, machine learning, cryptography, and data mining to discuss the theoretical foundations for research on data privacy. Two recurring themes were how the conflicting goals of privacy and utility can or should be formulated mathematically; and how the constraints of privacy—in their various incarnations—affect the accu...
متن کاملFoundations and Challenges of Change and Evolution in Ontologies (Dagstuhl Seminar 12441)
This report documents the program and the outcomes of Dagstuhl Seminar 12441 “Foundations and Challenges of Change and Evolution in Ontologies”, held from 28 October to 2 November 2012. The aim of the workshop was to bring together researchers working in the areas of logic-based ontologies, belief change, and database systems, along with researchers working in relevant areas in nonmonotonic rea...
متن کامل