Exploring Kdd2016 Paper 995
Exploring Kdd2016 Paper 995 reveals several interesting facts.
- Title: Parallel Lasso Screening for Big Data Optimization Authors: Qingyang Li*, Arizona State University Shuang Qiu, University of ...
- Title: Contextual Intent Tracking for Personal Assistants Authors: Yu Sun*, University of Melbourne Nicholas Jing Yuan, Microsoft ...
- Title: DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks Authors: Shuangfei Zhai*, ...
- Title: Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences Authors: Yasuko Matsubara*, Kumamoto ...
- Title: Robust Large-Scale Machine Learning in the Cloud Authors: Steffen Rendle*, Google, Inc. Dennis Fetterly, Google, Inc.
In-Depth Information on Kdd2016 Paper 995
Title: Robust Extreme Multi-label Learning Authors: Chang Xu*, Peking University Dacheng Tao, University of Technology Sydney ... Author: Chang Xu, Peking University Abstract: Tail labels in the multi-label learning problem undermine the low-rank assumption. Title: Smart Broadcasting: Do you want to be seen? Authors: Mohammad Reza Karimi*, Sharif University Erfan Tavakoli, Sharif ... Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...
Title: Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features Authors: Ying Shan*, Microsoft ...
Stay tuned for more updates related to Kdd2016 Paper 995.
