Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
Software-based thread-level parallelization has been widely studied for exploiting data parallelism in purely computational loops to improve program performance on multiprocessors...
Driven by increasing complexity and reliability demands, the Japanese Aerospace Exploration Agency (JAXA) in 2004 commissioned development of ELEGANT, a complete SpecC-based envir...
Andreas Gerstlauer, Junyu Peng, Dongwan Shin, Dani...
Parametric representations used for symbolic simulation of circuits usually use BDDs. After a few steps of symbolic simulation, state set representation is converted from one para...