This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
We present a fast, simple location recognition and image localization method that leverages feature correspondence and geometry estimated from large Internet photo collections. Suc...
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Data is routinely created, disseminated, and processed in distributed systems that span multiple administrative domains. To maintain accountability while the data is transformed b...
As the number of cores inside compute clusters continues to grow, the scalability of MPI (Message Passing Interface) is important to ensure that programs can continue to execute o...