Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
For the study of traffic flow, a number of factors for traffic flow is difficult to accurate description variables with specific parameters, but in similar circumstances, traffic ...
■ We investigated the neural basis of repetition priming (RP) during mathematical cognition. Previous studies of RP have focused on repetition suppression as the basis of behavi...
OPL is a modeling language for mathematical programming and combinatorial optimization problems. It is the first modeling language to combine high-level algebraic and set notation...
Pascal Van Hentenryck, Laurent Michel, Philippe La...