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» Component Frameworks - A Case Study
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AAAI
2010
15 years 8 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He
IJON
2008
128views more  IJON 2008»
15 years 6 months ago
Independent arrays or independent time courses for gene expression time series data analysis
In this paper we apply three different independent component analysis (ICA) methods, including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to gene exp...
Sookjeong Kim, Jong Kyoung Kim, Seungjin Choi
ENTCS
2007
107views more  ENTCS 2007»
15 years 6 months ago
Dynamic Contextual Adaptation
When developing systems based on COTS, components need to be adapted in most of the occasions to work under certain conditions which were not initially predicted by their develope...
Antonio Brogi, Javier Cámara, Carlos Canal,...
SIGOPS
2010
80views more  SIGOPS 2010»
15 years 4 months ago
Mining dependency in distributed systems through unstructured logs analysis
Dependencies among system components are crucial to locating root errors in a distributed system. In this paper, we propose an approach to mine intercomponent dependencies from un...
Jian-Guang Lou, Qiang Fu, Yi Wang, Jiang Li
RSA
2011
124views more  RSA 2011»
15 years 1 months ago
Sparse random graphs with clustering
In 2007 we introduced a general model of sparse random graphs with independence between the edges. The aim of this paper is to present an extension of this model in which the edge...
Béla Bollobás, Svante Janson, Oliver...