I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
This paper considers the problem of dimensionality reduction by orthogonal projection techniques. The main feature of the proposed techniques is that they attempt to preserve both...
FPGA devices are mostly utilized for customized application designs with heavily pipelined and aggressively parallel computations. However, little focus is normally given to the FP...
Multiprocessor application performance can be limited by the operating system when the application uses the operating system frequently and the operating system services use data ...
Aleksey Pesterev, Haibo Chen, Lex Stein, M. Frans ...
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...