Abstract. Cluster-based storage systems connected with TCP/IP networks are expected to achieve a high throughput by striping files across multiple storage servers. However, for th...
As heterogeneous parallel systems become dominant, application developers are being forced to turn to an incompatible mix of low level programming models (e.g. OpenMP, MPI, CUDA, ...
—Recent years have witnessed the deployments of wireless sensor networks for mission-critical applications such as battlefield monitoring and security surveillance. These applic...
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...