One of the principal advantages of parallelizing a rule-based system, or more generally, any A.I. system, is the ability to pursue alternate search paths concurrently. Conventiona...
It is widely accepted that complexity of biological systems arises from combinations of common subunits. In this work we investigate the combinatorial patterns of protein domains ...
We introduce LogGOPSim--a fast simulation framework for parallel algorithms at large-scale. LogGOPSim utilizes a slightly extended version of the well-known LogGPS model in combin...
Aging has considerable visual effects on the human face and is difficult to simulate using a universally-applicable global model. In this paper, we focus on the hypothesis that th...
In this paper, we propose the Multi-Learner Based Recursive Supervised Training (MLRT) algorithm which uses the existing framework of recursive task decomposition, by training the...
Laxmi R. Iyer, Kiruthika Ramanathan, Sheng Uei Gua...