Exploring Kdd2016 Paper 975
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- Title: Improving Survey Aggregation with Sparsely Represented Signals Authors: Tianlin Shi, Stanford University Forest ...
- Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ...
- Title: "Why Should I Trust You?": Explaining the Predictions of Any Classifier Authors: Marco Túlio Ribeiro*, University of ...
- Title: Communication Efficient Distributed Kernel Principal Component Analysis Authors: Yingyu Liang*, Princeton University Bo ...
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In-Depth Information on Kdd2016 Paper 975
Title: Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features Authors: Ying Shan*, Microsoft ... Title: Robust Extreme Multi-label Learning Authors: Chang Xu*, Peking University Dacheng Tao, University of Technology Sydney ... Title: Identifying Earmarks in Congressional Bills Authors Lingyang Chu*, Simon Fraser University Zhefeng Wang, University of ... Title: Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Authors: Kai ...
Title: An Engagement-Based Customer Lifetime Value System for E-commerce Authors: Ali Vanderveld*, Groupon Angela Han, ...
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