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SIGGRAPH
1992
ACM
15 years 7 months ago
Generative modeling: a symbolic system for geometric modeling
This paper discusses a new, symbolic approach to geometric modeling called generative modeling. The approach allows specification, rendering, and analysis of a wide variety of sha...
John M. Snyder, James T. Kajiya
119
Voted
KDD
2010
ACM
263views Data Mining» more  KDD 2010»
15 years 7 months ago
Social action tracking via noise tolerant time-varying factor graphs
Users’ behaviors (actions) in a social network are influenced by various factors such as personal interests, social influence, and global trends. However, few publications sys...
Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengj...
150
Voted
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 6 months ago
From user comments to on-line conversations
We present an analysis of user conversations in on-line social media and their evolution over time. We propose a dynamic model that predicts the growth dynamics and structural pro...
Chunyan Wang, Mao Ye, Bernardo A. Huberman
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 10 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
118
Voted
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
15 years 10 months ago
Bandit-Based Algorithms for Budgeted Learning
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
Kun Deng, Chris Bourke, Stephen D. Scott, Julie Su...