We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
UNIX-derived operating systems have traditionally have a simplistic approach to process synchronization which is unsuited to multiprocessor application. Initial FreeBSD SMP suppor...
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
Language-basedextensible systems, such as Java Virtual Machines and SPIN, use type safety to provide memory safety in a single address space. By using software to provide safety, ...
Godmar Back, Patrick Tullmann, Leigh Stoller, Wils...