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: Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned Authors: Xiaolin Shi*, Yahoo! Title: Latent Space Model for Road Networks to Predict Time-Varying Traffic Authors: Dingxiong Deng, University of Southern ...

Title: DopeLearning: A Computational Approach to Rap Lyrics Generation Authors: Eric Malmi*, Aalto University Pyry Takala, ...

Summary & Highlights for Kdd2016 Paper 183

  • Title: MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories Authors: Prithu Banerjee*, UBC Pranali ...
  • Title: Multi-layer Representation Learning for Medical Concepts Authors: Edward Choi*, Georgia Institute of Technology ...
  • Title: Audience Expansion for Online Social Network Advertising Authors: Haishan Liu*, LinkedIn Corporation David Pardoe, ...
  • Title: Meta Structure: Computing Relevance in Large Heterogeneous Information Networks Authors: Zhipeng Huang*, The ...
  • Title: Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay Authors: Yu Shi*, ...

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