Predicting the direction of conditional branches with high accuracy has become critical to the success of new deeper and wider processor pipelines. However, choosing a branch predictor is hard because the best choice is workload-dependent. Meta(or Hybrid-) predictors provide a rudimentary FSA-based heuristic for choosing between two predictors on-line. Such approaches have little or no theoreti...

Our goal is the integration of accurate scientific computation and intelligent object-oriented techniques to obtain powerful tools that can be used for the successful development of scientific expert systems, i.e. systems which provide expertise in the choice of algorithms within a particular problem domain and generate reliable, robust and maximally accurate results of full integrity. The need...

We suggest a test for discovering whether a potential expert is informed of the distribution of a stochastic process. In a non-Bayesian non-parametric setting, the expert is asked to make a prediction which is tested against a single realization of the stochastic process. It is shown that by asking the expert to predict a “small” set of sequences, the test will assure that any informed expert c...

We suggest a test for discovering whether a potential expert is informed of the distribution of a stochastic process. In a non-Bayesian non-parametric setting, the expert is asked to make a prediction which is tested against a single realization of the stochastic process. It is shown that by asking the expert to predict a “small” set of sequences, the test will assure that any informed expert c...

BACKGROUND Childhood epilepsies are a heterogeneous group of conditions that differ in diagnostic criteria and management and have dramatically different outcomes. Despite increasing data on treatment of epilepsy, research findings on childhood epilepsy are more limited and many clinical questions remain unanswered, so that clinicians must often rely on clinical judgment. In such clinical situa...