Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Extracting high-performance from the emerging Chip Multiprocessors (CMPs) requires that the application be divided into multiple threads. Each thread executes on a separate core t...
M. Aater Suleman, Moinuddin K. Qureshi, Yale N. Pa...
On-the-fly programming is a style of programming in which the programmer/performer/composer augments and modifies the program while it is running, without stopping or restarting, ...
Abstract. Sensing is at the core of virtually every DDDAS application. Sensing applications typically involve distributed communication and coordination over large self-organized n...
Asad Awan, Ahmed H. Sameh, Suresh Jagannathan, Ana...
The boom of product review websites, blogs and forums on the web has attracted many research efforts on opinion mining. Recently, there was a growing interest in the finergrained ...
Qi Su, Xinying Xu, Honglei Guo, Zhili Guo, Xian Wu...