Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
We develop an iterative relaxation algorithm, called RIBRA, for NMR protein backbone assignment. RIBRA applies nearest neighbor and weighted maximum independent set algorithms to ...
Transcriptional regulation is mediated by the coordinated binding of transcription factors to the upstream regions of genes. In higher eukaryotes, the binding sites of cooperating...
A Shrew attack, which uses a low-rate burst carefully designed to exploit TCP’s retransmission timeout mechanism, can throttle the bandwidth of a TCP flow in a stealthy manner....
We present tools that support the runtime execution of applications that mix software running on networks of workstations and reconfigurable hardware. We use JHDL to describe the ...
Laurie A. Smith King, Heather Quinn, Miriam Leeser...