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CSDA
2007
264views more  CSDA 2007»
15 years 6 months ago
Model-based methods to identify multiple cluster structures in a data set
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...
Giuliano Galimberti, Gabriele Soffritti
188
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CIKM
2004
Springer
15 years 11 months ago
Organizing structured web sources by query schemas: a clustering approach
In the recent years, the Web has been rapidly “deepened” with the prevalence of databases online. On this deep Web, many sources are structured by providing structured query i...
Bin He, Tao Tao, Kevin Chen-Chuan Chang
USENIX
2007
15 years 8 months ago
MapJAX: Data Structure Abstractions for Asynchronous Web Applications
Data Structure Abstractions for Asynchronous Web Applications Daniel S. Myers MIT CSAIL Jennifer N. Carlisle MIT CSAIL James A. Cowling MIT CSAIL Barbara H. Liskov MIT CSAIL The c...
Daniel S. Myers, Jennifer N. Carlisle, James A. Co...
UAI
2004
15 years 7 months ago
Sensitivity Analysis in Bayesian Networks: From Single to Multiple Parameters
Previous work on sensitivity analysis in Bayesian networks has focused on single parameters, where the goal is to understand the sensitivity of queries to single parameter changes...
Hei Chan, Adnan Darwiche
ICASSP
2011
IEEE
14 years 10 months ago
A clustering based framework for dictionary block structure identification
Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...
Ender M. Eksioglu