Exploring Kdd2016 Paper 995

Exploring Kdd2016 Paper 995 reveals several interesting facts.

  • Title: Robust Large-Scale Machine Learning in the Cloud Authors: Steffen Rendle*, Google, Inc. Dennis Fetterly, Google, Inc.
  • Title: The Limits of Popularity-Based Recommendations, and the Role of Social Ties Authors: Marco Bressan*, Sapienza ...
  • Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ...
  • Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...
  • Title: Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns Authors: Roel Bertens*, ...

In-Depth Information on Kdd2016 Paper 995

Title: Robust Extreme Multi-label Learning Authors: Chang Xu*, Peking University Dacheng Tao, University of Technology Sydney ... Title: Contextual Intent Tracking for Personal Assistants Authors: Yu Sun*, University of Melbourne Nicholas Jing Yuan, Microsoft ... Title: Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations Authors: Wei Cheng*, NEC ... Title: DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks Authors: Shuangfei Zhai*, ...

Title: Revisiting Random Binning Feature: Fast Convergence and Strong Parallelizability Authors: Lingfei Wu*, College of William ...

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