In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...
Data streaming systems are becoming essential for monitoring applications such as financial analysis and network intrusion detection. These systems often have to process many simi...
Sailesh Krishnamurthy, Chung Wu, Michael J. Frankl...
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Abstract—We introduce schema covering, the problem of identifying easily understandable common objects for describing large and complex schemas. Defining transformations between...
Abstract—The increasing number of cores per node in highperformance computing requires an efficient intra-node MPI communication subsystem. Most existing MPI implementations rel...