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» Local Dimensionality Reduction
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GRC
2008
IEEE
15 years 5 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
APN
2000
Springer
15 years 8 months ago
Pre- and Post-agglomerations for LTL Model Checking
One of the most efficient analysis technique is to reduce an original model into a simpler one such that the reduced model has the same properties than the original one. G. Berthel...
Denis Poitrenaud, Jean-François Pradat-Peyr...
CORR
2010
Springer
85views Education» more  CORR 2010»
15 years 4 months ago
Pushing BitTorrent Locality to the Limit
Peer-to-peer (P2P) locality has recently raised a lot of interest in the community. Indeed, whereas P2P content distribution enables financial savings for the content providers, i...
Stevens Le-Blond, Arnaud Legout, Walid Dabbous
BMCBI
2006
113views more  BMCBI 2006»
15 years 4 months ago
GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima
Background: Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sa...
Kazuhito Shida
GIS
2010
ACM
15 years 2 months ago
Location disambiguation in local searches using gradient boosted decision trees
Local search is a specialization of the web search that allows users to submit geographically constrained queries. However, one of the challenges for local search engines is to un...
Ritesh Agrawal, James G. Shanahan