Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
In this paper we develop an open queueing network for optimal design of multi-stage assemblies, in which each service station represents a manufacturing or assembly operation. The...
Amir Azaron, Hideki Katagiri, Kosuke Kato, Masatos...
—Atomic operations are important building blocks in supporting general-purpose computing on graphics processing units (GPUs). For instance, they can be used to coordinate executi...
— This paper addresses learning based adaptive resource allocation for wireless MIMO channels with Markovian fading. The problem is posed as Constrained Markov Decision Process w...
- Several studies have shown that cache memories account for more than 40% of the total energy consumed in processor-based embedded systems. In microscale technology nodes, active ...
Hamid Noori, Maziar Goudarzi, Koji Inoue, Kazuaki ...