Sciweavers

1011 search results - page 26 / 203
» Feature Selection for Support Vector Machines
Sort
View
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 8 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
ICASSP
2011
IEEE
12 years 11 months ago
Improved spoken term detection using support vector machines based on lattice context consistency
We propose an improved spoken term detection approach that uses support vector machines trained with lattice context consistency. The basic idea is that the same term usually have...
Hung-yi Lee, Tsung-wei Tu, Chia-Ping Chen, Chao-Yu...
IJCNLP
2005
Springer
14 years 1 months ago
Relation Extraction Using Support Vector Machine
This paper presents a supervised approach for relation extraction. We apply Support Vector Machines to detect and classify the relations in Automatic Content Extraction (ACE) corpu...
Gum-Won Hong
IJACTAICIT
2010
213views more  IJACTAICIT 2010»
13 years 5 months ago
Classification of Cardiac Arrhythmias using Biorthogonal Wavelets and Support Vector Machines
The classification of Electrocardiogram (ECG) is critical for diagnosis and treatment of patients with heart disorders. We present a technique for automatic the detection and clas...
Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...
ICANN
2005
Springer
14 years 1 months ago
Training of Support Vector Machines with Mahalanobis Kernels
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...
Shigeo Abe