Kernelized SVMs

New strategy optimizes kernel SVM learning from noisy data

Researchers have developed a new adaptive measurement allocation strategy for learning kernelized Support Vector Machines (SVMs) when dealing with noisy observations. This method focuses measurements on critical regions…