Call for Papers: Special Issue on Computational Propaganda and Political Big Data [0.03%]
征文通知：计算宣传和政治大数据专题研讨会论文集
Philip N Howard,Gillian Bolsover
Philip N Howard
Nathan Ratliff,Franziska Meier,Daniel Kappler et al.
Nathan Ratliff et al.
It has long been hoped that model-based control will improve tracking performance while maintaining or increasing compliance. This hope hinges on having or being able to estimate an accurate inverse dynamics model. As a result, substantial ...
Big Data on Robotics [0.03%]
大数据在机器人领域的应用
Jeannette Bohg,Matei Ciocarlie,Javier Civera et al.
Jeannette Bohg et al.
Yongqiang Huang,Matteo Bianchi,Minas Liarokapis et al.
Yongqiang Huang et al.
Data sets is crucial not only for model learning and evaluation but also to advance knowledge on human behavior, thus fostering mutual inspiration between neuroscience and robotics. However, choosing the right data set to use or creating a ...
Detection of Subtle Context-Dependent Model Inaccuracies in High-Dimensional Robot Domains [0.03%]
高维机器人领域中检测细微的上下文依赖模型不准确之处
Juan Pablo Mendoza,Reid Simmons,Manuela Veloso
Juan Pablo Mendoza
Autonomous robots often rely on models of their sensing and actions for intelligent decision making. However, when operating in unconstrained environments, the complexity of the world makes it infeasible to create models that are accurate i...
Leveraging Large-Scale Semantic Networks for Adaptive Robot Task Learning and Execution [0.03%]
利用大规模语义网络进行自适应机器人任务学习与执行
Adrian Boteanu,Aaron St Clair,Anahita Mohseni-Kabir et al.
Adrian Boteanu et al.
This work seeks to leverage semantic networks containing millions of entries encoding assertions of commonsense knowledge to enable improvements in robot task execution and learning. The specific application we explore in this project is ob...
Matthias Plappert,Christian Mandery,Tamim Asfour
Matthias Plappert
Linking human motion and natural language is of great interest for the generation of semantic representations of human activities as well as for the generation of robot activities based on natural language input. However, although there hav...
Evangelos E Papalexakis,Christos Faloutsos
Evangelos E Papalexakis
Multiaspect data are ubiquitous in modern Big Data applications. For instance, different aspects of a social network are the different types of communication between people, the time stamp of each interaction, and the location associated to...
Brittany Megan Bogle,Sanjay Mehrotra
Brittany Megan Bogle
Synthetic data are becoming increasingly important mechanisms for sharing data among collaborators and with the public. Multiple methods for the generation of synthetic data have been proposed, but many have short comings with respect to ma...
From Value Assessment to Value Cocreation: Informing Clinical Decision-Making with Medical Claims Data [0.03%]
从价值评估到共同创造价值：利用医疗理赔数据告知临床决策
Steven Thompson,Stephen Varvel,Maciek Sasinowski et al.
Steven Thompson et al.
Big data and advances in analytical processes represent an opportunity for the healthcare industry to make better evidence-based decisions on the value generated by various tests, procedures, and interventions. Value-based reimbursement is ...