Independent Component Analysis (ICA) is a powerful tool with applications in many areas of blind signal processing; however, its key assumption, i.e. the statistical independence o...
This paper proposes the use of uncertainty reduction in machine learning methods such as co-training and bilingual bootstrapping, which are referred to, in a general term, as ‘c...
This paper presents a simulation model of the operations in the Labor and Delivery Rooms at Jackson Memorial Hospital. A thorough analysis of the contents of hospital's datab...
Martha A. Centeno, Marsha A. Lee, Elizabeth Lopez,...
This paper reviews the modeling of subthreshold leakage current and proposes an improved model for general series-parallel CMOS networks. The presence of on-switches in off-networ...
It is widely acknowledged that detailed timing of action potentials is used to encode information, for example, in auditory pathways; however, the computational tools required to ...