As part of a National Science Foundation-funded study, we analyze data from a 2002 Midwest urban random sample survey (n = 167 adults) of differential access to and uses of comput...
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
GISs give users facilities to integrate and analyze data from different sources with different scale, accuracy, resolution and quality of the original data which are the key aspect...
Rahim Ali. Abbaspour, Mahmoud Reza Delavar, Reihan...
A genetic algorithms is applied to find a maximum flow from the source to sink in a weighted directed graph, where the weight associated with each edge represents its flow capacit...
In the third edition of WePS campaign we have undertaken the person name disambiguation problem referred to as a clustering task. Our aim was to make use of intrinsic link relation...
Elena Smirnova, Konstantin Avrachenkov, Brigitte T...