开课单位--普渡大学
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KDD Plenary Panel: Societal Impact of Data Science and Artificial Intelligence[KDD全体小组讨论会：数据科学和人工智能的社会影响]
  Jennifer Neville(普渡大学) The explosion of interest in KDD and other Data Science/Machine Learning/AI conferences is just one of the many signs that these technologies are no l...
热度：30

2
Graph Sample and Hold: A Framework for Big-Graph Analytics[图形采样和保持：大图形分析的框架]
  Nesreen K.Ahmed(普渡大学) Sampling is a standard approach in big-graph analytics; the goal is to efficiently estimate the graph properties by consulting a sample of the whole p...
热度：39

3
Role Equivalence Attention for Label Propagation in Graph Neural Networks[图神经网络中标记传播的角色等价注意]
  Hogun Park(普渡大学) Role Equivalence Attention for Label Propagation in Graph Neural Networks
热度：38

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DYMOND: DYnamic MOtif-NoDes Network Generative Model[DYMOND：动态MOtif节点网络生成模型]
  Giselle Zeno(普渡大学) DYMOND: DYnamic MOtif-NoDes Network Generative Model
热度：53

5
Building Reconstruction using Manhattan-World Grammars[利用曼哈顿世界文法楼改造]
  Carlos A. Vanegas(普渡大学) We present a passive computer vision method that exploits existing mapping and navigation databases in order to automatically create 3D building model...
热度：79

6
Estimating Densities with Non-Parametric Exponential Families[密度估计与非参数指数族]
  Lin Yuan;Sergey Kirshnery;Robert Givan(普渡大学) Density Estimation:X is a vector of random variables with support X  Rm. Non-Parametric Exponential Family:Exponential families can be obtained as...
热度：50

7
On the Tradeoff Between Privacy and Utility in Data Publishing [在数据发布隐私与实用之间的平衡]
  Tiancheng Li(普渡大学) In data publishing, anonymization techniques such as generalization and bucketization have been designed to provide privacy protection. In the meanwhi...
热度：83

8
A Multimodal Analysis of Floor Control in Meetings[会议中楼层控制的多模态分析]
  Mary Harper(普渡大学)
热度：48

9
Relational Learning with One Network: An Asymptotic Analysis[关系学习与一个网络：一个渐进分析]
  Rongjing Xiang(普渡大学) Theoretical analysis of structured learning methods has focused primarily on domains where the data consist of {\em independent} (albeit structured) e...
热度：26

10
A Machine Learning Approach for Probabilistic Drought Classification[一种机器学习的概率分类方法]
  Ganeshchandra Mallya(普渡大学) Current methods of drought assessment utilize drought indices, such as the standardized precipitation index and Palmer drought severity index, that re...
热度：44
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