-
Qualitative Robustness of Support Vector Machines
Support vector machines have attracted much attention in theoretical and...
read it
-
Upgrading Pulse Detection with Time Shift Properties Using Wavelets and Support Vector Machines
Current approaches in pulse detection use domain transformations so as t...
read it
-
Wavelet Time Shift Properties Integration with Support Vector Machines
This paper presents a short evaluation about the integration of informat...
read it
-
On detection of Gaussian stochastic sequences
The problem of minimax detection of Gaussian random signal vector in Whi...
read it
-
Early warning in egg production curves from commercial hens: A SVM approach
Artificial Intelligence allows the improvement of our daily life, for in...
read it
-
Iteratively-Reweighted Least-Squares Fitting of Support Vector Machines: A Majorization--Minimization Algorithm Approach
Support vector machines (SVMs) are an important tool in modern data anal...
read it
-
Efficient Seismic fragility curve estimation by Active Learning on Support Vector Machines
Fragility curves which express the failure probability of a structure, o...
read it
Sub-Optimum Signal Linear Detector Using Wavelets and Support Vector Machines
The problem of known signal detection in Additive White Gaussian Noise is considered. In previous work, a new detection scheme was introduced by the authors, and it was demonstrated that optimum performance cannot be reached in a real implementation. In this paper we analyse Support Vector Machines (SVM) as an alternative, evaluating the results in terms of Probability of detection curves for a fixed Probability of false alarm.
READ FULL TEXT
Comments
There are no comments yet.