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» Using Probabilistic Information in Data Integration
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P2P
2007
IEEE
117views Communications» more  P2P 2007»
15 years 8 months ago
Peer-to-Peer Rating
This paper proposes to utilize algorithms from the probabilistic graphical models domain for Peer-to-Peer rating of data items and for computing “social influence” of nodes i...
Danny Bickson, Dahlia Malkhi, Lidong Zhou
ALMOB
2007
111views more  ALMOB 2007»
15 years 2 months ago
Transcriptional regulatory network discovery via multiple method integration: application to e. coli K12
Motivation: Transcriptional regulatory network (TRN) discovery from one method (e.g. microarray analysis, gene ontology, phylogenic similarity) does not seem feasible due to lack ...
Jingjun Sun, Kagan Tuncay, Alaa Abi Haidar, Lisa E...
139
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KDD
2002
ACM
126views Data Mining» more  KDD 2002»
16 years 2 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
ICASSP
2011
IEEE
14 years 6 months ago
High accurate model-integration-based voice conversion using dynamic features and model structure optimization
This paper combines a parameter generation algorithm and a model optimization approach with the model-integration-based voice conversion (MIVC). We have proposed probabilistic int...
Daisuke Saito, Shinji Watanabe, Atsushi Nakamura, ...
BMCBI
2005
137views more  BMCBI 2005»
15 years 2 months ago
A configuration space of homologous proteins conserving mutual information and allowing a phylogeny inference based on pair-wise
Background: Popular methods to reconstruct molecular phylogenies are based on multiple sequence alignments, in which addition or removal of data may change the resulting tree topo...
Olivier Bastien, Philippe Ortet, Sylvaine Roy, Eri...