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ICML
2005
IEEE
14 years 9 months ago
Learning class-discriminative dynamic Bayesian networks
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
John Burge, Terran Lane
IDA
2003
Springer
14 years 2 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
ISBI
2006
IEEE
14 years 9 months ago
Nonuniform temporal alignment of slice sequences for four-dimensional imaging of cyclically deforming embryonic structures
The temporal alignment of nongated slice-sequences acquired at different axial positions in the living embryonic zebrafish heart permits the reconstruction of dynamic, three-dimen...
Michael Liebling, Julien Vermot, Arian S. Forouhar...
SIGMOD
2008
ACM
236views Database» more  SIGMOD 2008»
14 years 9 months ago
Approximate embedding-based subsequence matching of time series
A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...
Vassilis Athitsos, Panagiotis Papapetrou, Michalis...
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
14 years 1 months ago
Automatic Web Page Classification in a Dynamic and Hierarchical Way
Automatic classification of web pages is an effective way to deal with the difficulty of retrieving information from the Internet. Although there are many automatic classification...
Xiaogang Peng, Ben Choi