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ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
13 years 11 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic
4OR
2010
137views more  4OR 2010»
13 years 4 months ago
Extended formulations in combinatorial optimization
This survey is concerned with the size of perfect formulations for combinatorial optimization problems. By "perfect formulation", we mean a system of linear inequalities...
Michele Conforti, Gérard Cornuéjols,...
JAIR
2002
95views more  JAIR 2002»
13 years 4 months ago
SMOTE: Synthetic Minority Over-sampling Technique
An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the classification categories are not approximately equally repres...
Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hal...
ICC
2007
IEEE
185views Communications» more  ICC 2007»
13 years 11 months ago
Maximal Lifetime Rate and Power Allocation for Sensor Networks with Data Distortion Constraints
— We address a lifetime maximization problem for a single-hop wireless sensor network where multiple sensors encode and communicate their measurements of a Gaussian random source...
James C. F. Li, Subhrakanti Dey, Jamie S. Evans
SDM
2008
SIAM
150views Data Mining» more  SDM 2008»
13 years 6 months ago
A Stagewise Least Square Loss Function for Classification
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
Shuang-Hong Yang, Bao-Gang Hu