Results 71 to 80 of about 4,092,060 (167)

Data collection: challenges and opportunities

, 2018
This chapter documents the main result of the work of Working Group 2 on data collection and reporting. The central aims of the group were: (1) to identify differences and similarities in data collection on femicide at national and international levels across Europe, and (2) to develop recommendations for European countries and organizations on how to ...
Schrottle, Monika, Meshkova, Ksenia
openaire   +2 more sources

Do Android App Developers Accurately Report Collection of Privacy-Related Data? [PDF]

arXiv
Many Android applications collect data from users. The European Union's General Data Protection Regulation (GDPR) requires vendors to faithfully disclose which data their apps collect. This task is complicated because many apps use third-party code for which the same information is not readily available.
arxiv  

Qualitative data in demography

Demographic Research, 2004
Qualitative methods and insights from other disciplines are increasingly integrated into demography's traditionally quantitative toolkit. Whereas this is not problematic for multi-disciplinary research projects difficulties may arise when quantitatively ...
doaj  

Efficient Data Collection for Robotic Manipulation via Compositional Generalization [PDF]

arXiv
Data collection has become an increasingly important problem in robotic manipulation, yet there still lacks much understanding of how to effectively collect data to facilitate broad generalization. Recent works on large-scale robotic data collection typically vary many environmental factors of variation (e.g., object types, table textures) during data ...
arxiv  

Acquiring data in medical research: A research primer for low- and middle-income countries

African Journal of Emergency Medicine, 2020
Without data, there is no new knowledge generated. There may be interesting speculation, new paradigms or theories, but without data gathered from the universe, as representative of the truth in the universe as possible, there will be no new knowledge ...
Vicken Totten, Erin L. Simon, Mohammad Jalili, Hendry R. Sawe   +3 more
doaj  

Constrction of data driven-centric smart home intelligent operating system

Dianxin kexue, 2017
From the background of the second half of the internet era,when constructing the smart home intelligent operating system,data-driven should be the foundation,and data evaluation should be the means.By using accurate and efficient data collection methods ...
Zheng WEI, Weijia SHI, Zhengkai ZHANG
doaj   +2 more sources

A methodology and a platform for high-quality rich personal data [PDF]

arXiv
In the last years the pervasive use of sensors, as they exist in smart devices, e.g., phones, watches, medical devices, has increased dramatically the availability of personal data. However, existing research on data collection primarily focuses on the objective view of reality, as provided, for instance, by sensors, often neglecting the integration of
arxiv  

Towards Comprehensive Preference Data Collection for Reward Modeling [PDF]

arXiv
Reinforcement Learning from Human Feedback (RLHF) facilitates the alignment of large language models (LLMs) with human preferences, thereby enhancing the quality of responses generated. A critical component of RLHF is the reward model, which is trained on preference data and outputs a scalar reward during the inference stage. However, the collection of
arxiv  

Electric Vehicle Enquiry (EVE) Pilot [PDF]

arXiv
This data paper presents the dataset from a study on the use of electric vehicles (EVs). This dataset covers the first dataset collected in this study: the usage data from a Renault Zoe over 3 years. The process of collection of the dataset, its treatment, and descriptions of all the included variables are detailed.
arxiv  

Autonomous Improvement of Instruction Following Skills via Foundation Models [PDF]

Conference on Robot Learning 2024
Intelligent instruction-following robots capable of improving from autonomously collected experience have the potential to transform robot learning: instead of collecting costly teleoperated demonstration data, large-scale deployment of fleets of robots can quickly collect larger quantities of autonomous data that can collectively improve their ...
arxiv