We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...
— This paper describes the FAST methodology that enables a single FPGA to accelerate the performance of cycle-accurate computer system simulators modeling modern, realistic SoCs,...
Derek Chiou, Dam Sunwoo, Joonsoo Kim, Nikhil A. Pa...
Abstract. We present the PathCrawler prototype tool for the automatic generation of test-cases satisfying the rigorous all-paths criterion, with a user-defined limit on the number...
Nicky Williams, Bruno Marre, Patricia Mouy, Muriel...