While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. ...
Francis R. Bach, Gert R. G. Lanckriet, Michael I. ...
A method of data embedding based on the convolution of message data with a random phase carrier is presented. The theory behind this method is reviewed and it is shown that the te...
The physical register file is an important component of a dynamically-scheduled processor. Increasing the amount of parallelism places increasing demands on the physical register...
In this paper we introduce an improved implementation of locally weighted projection regression (LWPR), a supervised learning algorithm that is capable of handling high-dimensiona...
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...