Introduction to Kdd2016 Paper 183
Exploring Kdd2016 Paper 183 reveals several interesting facts. Title: Scalable Time-Decaying Adaptive Prediction Algorithm Authors: Yinyan Tan*, Huawei Software Technologies CO. LTD Zhe ...
Kdd2016 Paper 183 Comprehensive Overview
Title: Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments Authors: Alexey ... Title: Scalable Pattern Matching over Compressed Graphs via Dedensification Authors: Antonio Maccioni*, Roma Tre University ... Title: Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay Authors: Yu Shi*, ...
Title: Learning Cumulatively to Become More Knowledgeable Authors: Geli Fei*, University of Illinois at Chicago Shuai Wang, ...
Summary & Highlights for Kdd2016 Paper 183
- Title: Multi-layer Representation Learning for Medical Concepts Authors: Edward Choi*, Georgia Institute of Technology ...
- Title: Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned Authors: Xiaolin Shi*, Yahoo!
- Title: MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories Authors: Prithu Banerjee*, UBC Pranali ...
- Title: ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages Authors: Matteo ...
- Title: When Social Influence Meets Item Inference Authors: Hui-Ju Hung*, The Pennsylvania State University Hong-Han Shuai, ...
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