Proper reuse of learning objects depends both on the amount and quality of attached semantic metadata such as “learning objective”', “related concept”, etc. Manually ...
Paramjeet Singh Saini, Marco Ronchetti, Diego Sona
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
Congestion estimation is an important issue for the success of the VLSI layout. Fast congestion estimation provides an efficient means to adjust the placement and wire planning. A...
— In ultra-deep submicron technology, crosstalk noise is so severe that crosstalk avoidance merely in detailed routing is not adequate and it has to be considered in earlier desi...
The restarted estimation of distribution algorithm (EDA) with Cauchy distribution as the probabilistic model is tested on the BBOB 2009 testbed. These tests prove that when using ...