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» A hierarchical model of data locality
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180
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ICML
2010
IEEE
14 years 12 months ago
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...
Sinead Williamson, Chong Wang, Katherine A. Heller...
IV
2007
IEEE
155views Visualization» more  IV 2007»
15 years 5 months ago
Navani: Navigating Large-Scale Visualisations with Animated Transitions
When visualising datasets that are too large to be displayed in their entirity, interactive navigation is a common solution. However, instantaneous updates of the visualisation wh...
Kevin Pulo
138
Voted
DBKDA
2010
IEEE
219views Database» more  DBKDA 2010»
14 years 11 months ago
GN-DTD: Graphical Notations for Describing XML Documents
— This paper presents a graphical approach to model XML documents based on a Data Type Documentation called Graphical Notations-Data Type Documentation (GN-DTD). GN-DTD allows us...
Zurinahni Zainol, Bing Wang
76
Voted
ICDM
2008
IEEE
224views Data Mining» more  ICDM 2008»
15 years 5 months ago
A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
Yang Song, Lu Zhang 0007, C. Lee Giles
101
Voted
ICDCS
2002
IEEE
15 years 3 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...