Introduction to Kdd2016 Paper 679
Exploring Kdd2016 Paper 679 reveals several interesting facts. Title: Structural Neighborhood Based Classification of Nodes in a Network Authors: Sharad Nandanwar*, Indian Institute of ...
Kdd2016 Paper 679 Comprehensive Overview
Title: "Why Should I Trust You?": Explaining the Predictions of Any Classifier Authors: Marco Túlio Ribeiro*, University of ... Title: Identifying Earmarks in Congressional Bills Authors Lingyang Chu*, Simon Fraser University Zhefeng Wang, University of ... Title: XGBoost: A Scalable Tree Boosting System Authors: Tianqi Chen, University of Washington Carlos Guestrin, University of ...
Title: DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks Authors: Shuangfei Zhai*, ...
Summary & Highlights for Kdd2016 Paper 679
- Title: From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach Authors: ...
- Title: Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments Authors: Alexey ...
- Title: ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages Authors: Matteo ...
- Title: MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories Authors: Prithu Banerjee*, UBC Pranali ...
- Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...
Stay tuned for more updates related to Kdd2016 Paper 679.