— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...
We consider adaptive two-channel multiple-description coding. We provide an analytical method for designing a resolutionconstrained symmetrical multiple-description coder that use...
Janusz Klejsa, Marcin Kuropatwinski, W. Bastiaan K...
We propose CCRank, the first parallel algorithm for learning to rank, targeting simultaneous improvement in learning accuracy and efficiency. CCRank is based on cooperative coev...
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wiraw...
Message passing using the Message Passing Interface (MPI) is at present the most widely adopted framework for programming parallel applications for distributed-memory and clustere...