ATNoSFERES is a Pittsburgh style Learning Classifier System (LCS) in which the rules are represented as edges of an Augmented Transition Network. Genotypes are strings of tokens ...
— As the capacity of the two-dimensional coherent optical memory (2D-COM) increases, the bit error rate (BER) performance of the system is degraded due to increased twodimensiona...
InterWeave is a distributed middleware system that supports the sharing of strongly typed, pointer-rich data structures across a wide variety of hardware architectures, operating ...
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
Recent research shows that the high occupancy of Coherence Controllers (CCs) is a major performance bottleneck in scalable shared-memory multiprocessors. In this paper, we propose...