Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines [0.03%]
机器学习与人工智能：追求智能行为的两位旅伴
Kristian Kersting
Kristian Kersting
Thomas Hartung
Thomas Hartung
Systematic Lab Knowledge Integration for Management of Lipid Excess in High-Risk Patients: Rationale and Design of the SKIM LEAN Project [0.03%]
高危患者的血脂管理(SKIM LEAN项目)：知识整合的合理性和设计
Chiara Pavanello,Marina Parolini,Antonia Alberti et al.
Chiara Pavanello et al.
SKIM LEAN aims at exploiting Electronic Health Records (EHRs) to integrate knowledge derived from routine laboratory tests with background analysis of clinical databases, for the identification and early referral to specialist care, where a...
An Application of Data Mining Techniques to Explore Congressional Lobbying Records for Patterns in Pediatric Special Interest Expenditures Prior to the Affordable Care Act [0.03%]
数据挖掘技术在美国平价医疗法案出台前探索儿科专项利益支出规律的应用研究——对国会议案记录的分析
Elizabeth Harrison,Caitlin Dreisbach,Nada Basit et al.
Elizabeth Harrison et al.
Data Analytics Applications for Streaming Data From Social Media: What to Predict? [0.03%]
来自社交媒体的流数据的数据分析应用：预测什么？
Frank Emmert-Streib,Olli P Yli-Harja,Matthias Dehmer
Frank Emmert-Streib
Social media in general provide great opportunities for mining massive amounts of text, image, and video-based data. However, what questions can be addressed from analyzing such data? In this review, we are focusing on microblogging service...
Beyond the Scale of Big Data [0.03%]
大数据的限度
Huan Liu
Huan Liu
Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform With CUDA and OpenACC [0.03%]
基于CUDA和OpenACC的CPU-GPU混合平台下的空间交叉匹配加速
Furqan Baig,Chao Gao,Dejun Teng et al.
Furqan Baig et al.
Spatial cross-matching operation over geospatial polygonal datasets is a highly compute-intensive yet an essential task to a wide array of real-world applications. At the same time, modern computing systems are typically equipped with multi...
Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization [0.03%]
构建元数据知识图谱以作为揭开AI流水线优化神秘面纱的 atlas
The emergence of advanced artificial intelligence (AI) models has driven the development of frameworks and approaches that focus on automating model training and hyperparameter tuning of end-to-end AI pipelines. However, other crucial stage...