Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
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...
We propose a support system for finding lost objects indoors. The system employs active RFID and ultrasonic position detection to detect the position of a lost object. The system...
Support vector machines (SVMs) have played a key role in broad classes of problems arising in various fields. Much more recently, SVMs have become the tool of choice for problems...
Abstract. The recent development of location-based services has originated a set of new security services that address their particular security problems. Spatial-temporal certific...