Exploring Kdd2016 Paper 1027
Let's dive into the details surrounding Kdd2016 Paper 1027.
- Title: Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments Authors: Alexey ...
- Title: Multi-layer Representation Learning for Medical Concepts Authors: Edward Choi*, Georgia Institute of Technology ...
- Title: Scalable Time-Decaying Adaptive Prediction Algorithm Authors: Yinyan Tan*, Huawei Software Technologies CO. LTD Zhe ...
- Title: DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks Authors: Shuangfei Zhai*, ...
- Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ...
In-Depth Information on Kdd2016 Paper 1027
Title: A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines Authors: Yijun Zhao*, ... Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ... Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ... Title: Identifying Earmarks in Congressional Bills Authors: Madian Khabasa*, Microsoft Vrushank Vora, Data Science for Social ...
Title: Scalable Pattern Matching over Compressed Graphs via Dedensification Authors: Antonio Maccioni*, Roma Tre University ...
That wraps up our extensive overview of Kdd2016 Paper 1027.