Results 21 to 30 of about 1,187,761 (284)
Investigating an open methodology for designing domain-specific language collections [PDF]
, 2014 With this research and design paper, we are proposing that Open Educational Resources (OERs) and Open Access (OA) publications give increasing access to high quality online educational and research content for the development of powerful domain-specific ...
Barge, Martin +2 more
core +2 more sources
Surveillance and falsification implications for open source intelligence investigations [PDF]
, 2015 © 2015 ACM. Legitimacy of surveillance is crucial to safeguarding validity of OSINT data as a tool for law-enforcement ...
Babak Akhgar +8 more
core +1 more source
Open-source intelligence and privacy by design [PDF]
Computer Law & Security Review, 2013 As demonstrated by other papers on this issue, open-source intelligence (OSINT) by state authorities poses challenges for privacy protection and intellectual-property enforcement. A possible strategy to address these challenges is to adapt the design of OSINT tools to embed normative requirements, in particular legal requirements. The experience of the
Koops, B.J., Hoepman, J.H., Leenes, R.
openaire +4 more sources
OPEN SOURCE INTELLIGENCE (OSINT) AS AN ELEMENT OF MILITARY RECON
Security and Defence Quarterly, 2018 One of the most basic functions of the state is to ensure the security to it and its citizens. Significant elements are: perseverance, political independence, territorial integrity and maintenance proper level of life quality. Today’s intelligence, which
Agata ZIÓŁKOWSKA
doaj +1 more source
The rise of open-source intelligence
European Journal of International SecurityThis article challenges the perception of Open-Source Intelligence (OSINT) as a revolutionary shift driven by the explosion of publicly accessible data. Instead, we argue that the rise of OSINT reflects an evolution of traditional intelligence practices:
Damien Van Puyvelde +1 more
doaj +1 more source
Universal Reinforcement Learning Algorithms: Survey and Experiments [PDF]
, 2017 Many state-of-the-art reinforcement learning (RL) algorithms typically assume that the environment is an ergodic Markov Decision Process (MDP). In contrast, the field of universal reinforcement learning (URL) is concerned with algorithms that make as few
Aslanides, John +2 more
core +1 more source
Discretizing Continuous Action Space for On-Policy Optimization
, 2020 In this work, we show that discretizing action space for continuous control is a simple yet powerful technique for on-policy optimization. The explosion in the number of discrete actions can be efficiently addressed by a policy with factorized ...
Agrawal, Shipra, Tang, Yunhao
core +1 more source
Probabilistic Graphical Models on Multi-Core CPUs using Java 8 [PDF]
, 2016 In this paper, we discuss software design issues related to the development of parallel computational intelligence algorithms on multi-core CPUs, using the new Java 8 functional programming features.
Borchani, Hanen +2 more
core +2 more sources
OPEN SOURCE INTELLIGENCE: AN OVERVIEW OF TODAY’S OPERATIONAL CHALLENGES AND HUMAN RIGHTS AFFECTED AS A CONSEQUENCE [PDF]
Romanian Intelligence Studies Review, 2023 This article analyses those operational challenges and their subsequent impacts on human rights. It does so by doing a comprehensive literature review on the topic through academic articles, national and international institutional reports, and newspaper
Ainara BORDES PEREZ
doaj
Ontology Population for Open-Source Intelligence [PDF]
, 2018 We present an approach based on GATE (General Architecture for Text Engineering) for the automatic population of ontologies from text documents. We describe some experimental results, which are encouraging in terms of extracted correct instances of the ...
Ganino, G. +3 more
core