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» Computing LTS Regression for Large Data Sets
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CVPR
2005
IEEE
15 years 11 months ago
Graph Embedding: A General Framework for Dimensionality Reduction
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
14 years 10 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 1 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
BMCBI
2008
228views more  BMCBI 2008»
14 years 10 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
BMCBI
2010
142views more  BMCBI 2010»
14 years 10 months ago
Discover Protein Complexes in Protein-Protein Interaction Networks Using Parametric Local Modularity
Background: Recent advances in proteomic technologies have enabled us to create detailed protein-protein interaction maps in multiple species and in both normal and diseased cells...
Jongkwang Kim, Kai Tan