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» The Weighted Majority Algorithm
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ICMLA
2007
13 years 10 months ago
Automatic medical coding of patient records via weighted ridge regression
In this paper, we apply weighted ridge regression to tackle the highly unbalanced data issue in automatic largescale ICD-9 coding of medical patient records. Since most of the ICD...
Jian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita...
ICIP
2003
IEEE
14 years 10 months ago
Robust line detection using a weighted MSE estimator
In this paper we introduce a novel line detection algorithm based on a weighted minimum mean square error (MSE) formulation. This algorithm has been developed to enable an autonom...
Guido M. Schuster, Aggelos K. Katsaggelos
CIKM
2006
Springer
13 years 11 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
ANCS
2009
ACM
13 years 6 months ago
Weighted random oblivious routing on torus networks
Torus, mesh, and flattened butterfly networks have all been considered as candidate architectures for on-chip interconnection networks. In this paper, we study the problem of opti...
Rohit Sunkam Ramanujam, Bill Lin
CIKM
2009
Springer
14 years 27 days ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han