Traditional regression analysis derives global relationships between variables and neglects spatial variations in variables. Hence they lack the ability to systematically discover...
This paper proposes a general hierarchical analysis methodology, HiPRIME, to efficiently analyze RLKC power delivery systems. After partitioning the circuits into blocks, we devel...
Yahong Cao, Yu-Min Lee, Tsung-Hao Chen, Charlie Ch...
The POIROT project is a four-year effort to develop an architecture that integrates the products of a number of targeted reasoning and learning components to produce executable re...
Mark H. Burstein, Fusun Yaman, Robert Laddaga, Rob...
Abstract. Inspired on psycholinguistics and neuroscience, a symbolicconnectionist hybrid system called θ-Pred (Thematic Predictor for natural language) is proposed, designed to re...
Configurable processors are becoming increasingly popular for modern embedded systems (especially for the field-programmable system-on-a-chip). While steady progress has been made...
Jason Cong, Yiping Fan, Guoling Han, Ashok Jaganna...