A low complexity user scheduling algorithm based on a novel adaptive Markov chain Monte Carlo (AMCMC) method is proposed to achieve the maximal sum capacity in an uplink multiple-i...
Yangyang Zhang, Chunlin Ji, Yi Liu, Wasim Q. Malik...
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
Database systems as basis for CAD frameworks have to provide data management as well as transaction management facilities meeting the requirements of design applications. One of t...
We investigate issues related to the probe complexity of quorum systems and their implementation in a dynamic environment. Our contribution is twofold. The first regards the algo...
Currently, large amounts of research exist into the design and implementation of adaptive systems. The complex task of authoring of such systems, or their evaluation, is addressed ...