Useful Takeaway: Title: From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach Authors: ... Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ...

Kdd2016 Paper 819 - Plain-English Guide

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Plain-English Guide

Title: A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests Authors: Francois Petitjean*, Monash ... Title: DopeLearning: A Computational Approach to Rap Lyrics Generation Authors: Eric Malmi*, Aalto University Pyry Takala, ...

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Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ... Title: A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) Algorithm Authors: Yanni Li, Xidian University ... Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ...

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Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ... Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ...

General Important Details

Title: DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks Authors: Shuangfei Zhai*, ... Title: Robust Large-Scale Machine Learning in the Cloud Authors: Steffen Rendle*, Google, Inc. Title: Meta Structure: Computing Relevance in Large Heterogeneous Information Networks Authors: Zhipeng Huang*, The ...

Key points worth scanning

  • Title: DopeLearning: A Computational Approach to Rap Lyrics Generation Authors: Eric Malmi*, Aalto University Pyry Takala, ...
  • Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ...
  • Title: A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) Algorithm Authors: Yanni Li, Xidian University ...
  • Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ...
  • Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ...

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Supporting Gallery

KDD2016 paper 819
KDD2016 paper 801
KDD 2016 paper 392
KDD2016 paper 767
KDD2016 paper 150
KDD2016 paper 469
KDD2016 paper 619
KDD2016 paper 289
KDD2016 paper 519
KDD2016 paper 450
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Check Main Notes
KDD2016 paper 819

KDD2016 paper 819

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

KDD2016 paper 801

KDD2016 paper 801

Title: Robust Large-Scale Machine Learning in the Cloud Authors: Steffen Rendle*, Google, Inc. Dennis Fetterly, Google, Inc.

KDD 2016 paper 392

KDD 2016 paper 392

Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ...

KDD2016 paper 767

KDD2016 paper 767

Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ...

KDD2016 paper 150

KDD2016 paper 150

Title: Meta Structure: Computing Relevance in Large Heterogeneous Information Networks Authors: Zhipeng Huang*, The ...

KDD2016 paper 469

KDD2016 paper 469

Title: From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach Authors: ...

KDD2016 paper 619

KDD2016 paper 619

Title: A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) Algorithm Authors: Yanni Li, Xidian University ...

KDD2016 paper 289

KDD2016 paper 289

Title: DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks Authors: Shuangfei Zhai*, ...

KDD2016 paper 519

KDD2016 paper 519

Title: A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests Authors: Francois Petitjean*, Monash ...

KDD2016 paper 450

KDD2016 paper 450

Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ...