In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
Background: Detection of common evolutionary origin (homology) is a primary means of inferring protein structure and function. At present, comparison of protein families represent...
In this paper, a design method for automotive architectures is proposed. The two main technical contributions are (i) a novel hardware/software architecture encoding that unifies ...
In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...