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» Applying Support Vector Machines to Imbalanced Datasets
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SAC
2004
ACM
14 years 1 months ago
Multidimensional support vector machines for visualization of gene expression data
Daisuke Komura, Hiroshi Nakamura, Shuichi Tsutsumi...
IMSCCS
2006
IEEE
14 years 1 months ago
Parallel Multicategory Support Vector Machines (PMC-SVM) for Classifying Microcarray Data
Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of biological classification problems. However, the proc...
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 1 months ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
ICML
2008
IEEE
14 years 8 months ago
Optimized cutting plane algorithm for support vector machines
We have developed a new Linear Support Vector Machine (SVM) training algorithm called OCAS. Its computational effort scales linearly with the sample size. In an extensive empirica...
Sören Sonnenburg, Vojtech Franc
ICASSP
2011
IEEE
12 years 11 months ago
Fall detection in a smart room by using a fuzzy one class support vector machine and imperfect training data
In this paper, we propose an efficient and robust fall detection system by using a fuzzy one class support vector machine based on video information. Two cameras are used to capt...
Miao Yu, Syed Mohsen Naqvi, Adel Rhuma, Jonathon A...