In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
The memory subsystem of a complex multiprocessor systemson-chip (MPSoC) is an important contributor to the chip power consumption. The selection of memory architecture, as well as...
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
Semantic caches, originally proposed for client-server database systems, are being recently deployed to accelerate the serving of dynamic web content by transparently caching data...
Khalil Amiri, Sanghyun Park, Renu Tewari, Sriram P...
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...