The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
OS-level virtualization generates a minimal start-up and run-time overhead on the host OS and thus suits applications that require both good isolation and high efficiency. However...
Zhiyong Shan, Xin Wang 0001, Tzi-cker Chiueh, Xiao...
Software-based thread-level parallelization has been widely studied for exploiting data parallelism in purely computational loops to improve program performance on multiprocessors...
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungc...
Modern microprocessors can achieve high performance on linear algebra kernels but this currently requires extensive machine-speci c hand tuning. We have developed a methodology wh...
Jeff Bilmes, Krste Asanovic, Chee-Whye Chin, James...