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» The Kernel Least-Mean-Square Algorithm
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KES
2006
Springer
15 years 3 months ago
Sensor Network Localization Using Least Squares Kernel Regression
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...
Anthony Kuh, Chaopin Zhu, Danilo P. Mandic
130
Voted
ALT
2001
Springer
16 years 12 days ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
JMLR
2007
104views more  JMLR 2007»
15 years 3 months ago
Learnability of Gaussians with Flexible Variances
Gaussian kernels with flexible variances provide a rich family of Mercer kernels for learning algorithms. We show that the union of the unit balls of reproducing kernel Hilbert s...
Yiming Ying, Ding-Xuan Zhou
DATE
2005
IEEE
96views Hardware» more  DATE 2005»
15 years 9 months ago
Structural Testing Based on Minimum Kernels
Structural testing techniques, such as statement and branch coverage, play an important role in improving dependability of software systems. However, finding a set of tests which...
Elena Dubrova
129
Voted
ISNN
2005
Springer
15 years 9 months ago
Scaling the Kernel Function to Improve Performance of the Support Vector Machine
Abstract. The present study investigates a geometrical method for optimizing the kernel function of a support vector machine. The method is an improvement of the one proposed in [4...
Peter Williams, Sheng Li, Jianfeng Feng, Si Wu