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ICPR
2002
IEEE
14 years 5 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
BMCBI
2010
151views more  BMCBI 2010»
13 years 4 months ago
Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
COMPSAC
2001
IEEE
13 years 8 months ago
Scenario-Based Functional Regression Testing
Regression testing has been a popular quality assurance technique. Most regression testing techniques are based on code or software design. This paper proposes a scenario-based fu...
Raymond A. Paul, Lian Yu, Wei-Tek Tsai, Xiaoying B...
BMCBI
2007
127views more  BMCBI 2007»
13 years 4 months ago
Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
Background: Human genetic variations primarily result from single nucleotide polymorphisms (SNPs) that occur approximately every 1000 bases in the overall human population. The no...
Jian Tian, Ningfeng Wu, Xuexia Guo, Jun Guo, Juhua...
CDC
2008
IEEE
206views Control Systems» more  CDC 2008»
13 years 11 months ago
Approximate dynamic programming using support vector regression
— This paper presents a new approximate policy iteration algorithm based on support vector regression (SVR). It provides an overview of commonly used cost approximation architect...
Brett Bethke, Jonathan P. How, Asuman E. Ozdaglar