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ICC
2008
IEEE
128views Communications» more  ICC 2008»
15 years 11 months ago
Experimental Analysis of Super-Seeding in BitTorrent
—With the popularity of BitTorrent, improving its performance has been an active research area. Super-seeding, a special upload policy for initial seeds, improves the efficiency ...
Zhijia Chen, Yang Chen, Chuang Lin, Vaibhav Nivarg...
ML
2008
ACM
248views Machine Learning» more  ML 2008»
15 years 5 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 7 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
JMLR
2008
144views more  JMLR 2008»
15 years 5 months ago
Search for Additive Nonlinear Time Series Causal Models
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
Tianjiao Chu, Clark Glymour
KDD
2002
ACM
144views Data Mining» more  KDD 2002»
16 years 5 months ago
Efficiently mining frequent trees in a forest
Mining frequent trees is very useful in domains like bioinformatics, web mining, mining semi-structured data, and so on. We formulate the problem of mining (embedded) subtrees in ...
Mohammed Javeed Zaki