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KDD
2007
ACM
209views Data Mining» more  KDD 2007»
14 years 9 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
ICML
2008
IEEE
14 years 9 months ago
The dynamic hierarchical Dirichlet process
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
Lu Ren, David B. Dunson, Lawrence Carin
DEXAW
1999
IEEE
142views Database» more  DEXAW 1999»
14 years 1 months ago
Developments in Spatio-Temporal Query Languages
ing spatio-temporal data as abstract data types into already existing data models is a promising approach to creating spatio-temporal query languages. In this context, an importan...
Martin Erwig, Markus Schneider
BMCBI
2007
97views more  BMCBI 2007»
13 years 9 months ago
Relating destabilizing regions to known functional sites in proteins
Background: Most methods for predicting functional sites in protein 3D structures, rely on information on related proteins and cannot be applied to proteins with no known relative...
Benoit H. Dessailly, Marc F. Lensink, Shoshana J. ...
ESWA
2008
140views more  ESWA 2008»
13 years 9 months ago
Web taxonomy integration with hierarchical shrinkage algorithm and fine-grained relations
We address the problem of integrating web taxonomies from different real Internet applications. Integrating web taxonomies is to transfer instances from a source to target taxonom...
Chia-Wei Wu, Richard Tzong-Han Tsai, Cheng-Wei Lee...