Combining Predictors

Combining Branch Predictors

One of the key factors determining computer performance is the degree to which the implementation can take advantage of instruction-level parallelism. Perhaps the most critical limit to this parallelism is the presence of conditional branches that determine which instructions need to be executed next. To increase parallelism, several authors have suggested ways of predicting the direction of co...

Combining Predictors: Some Old Methods and a New Method

Xerox TREC-3 Report: Combining Exact and Fuzzy Predictors

1 Overview We employed diierent processing techniques for the ad hoc and routing tasks, although both explored the combination of exact and fuzzy predictors. For the routing task, we used a neural net classiier to estimate the probability of relevance of a new document to a given topic description. We experimented with a variety of document representations, nally settling on a hybrid feature se...

Ranking and combining multiple predictors without labeled data.

In a broad range of classification and decision-making problems, one is given the advice or predictions of several classifiers, of unknown reliability, over multiple questions or queries. This scenario is different from the standard supervised setting, where each classifier's accuracy can be assessed using available labeled data, and raises two questions: Given only the predictions of several c...

Combining Predictors: Some Old Methods and a New Method