Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
We consider the problem of minimizing average flow time on multiple machines when each job can be assigned only to a specified subset of the machines. This is a special case of sc...
Significant research has been devoted to aggregation in sensor networks with a view to optimize its performance. Existing research has mostly concentrated on maximizing network li...
: The distributed recovery block (DRB) scheme is a widely applicable approach for realizing both hardware and software fault tolerance in real-time distributed and parallel compute...
We present a faster method of solving optimal planning problems and show that our solution performs up to an order of magnitude faster than Satplan on a variety of problems from t...