1 This paper presents a simple but effective method to reduce on-chip access latency and improve core isolation in CMP Non-Uniform Cache Architectures (NUCA). The paper introduces ...
Javier Merino, Valentin Puente, Pablo Prieto, Jos&...
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Semiquantitative models combine both qualitative and quantitative knowledge within a single semiquantitative qualitative differential equation (SQDE) representation. With current ...
General Game Playing (GGP) agents must be capable of playing a wide variety of games skillfully. Monte-Carlo Tree Search (MCTS) has proven an effective reasoning mechanism for thi...
Conventional display in robotic surgery such as flat displays or stereoscopic displays decreases obtainable information around target tissue. For supporting manipulation and perfo...