Exact(12)
The British Industrial Fatigue Board has given the individual hypothesis its scientific justification.
The local prediction for an individual hypothesis uses a kNN model based on the supporting examples.
Construct individual hypothesis predictions which will contribute to the overall call.
Rather, experience globally confirms the theory in which the individual hypothesis is embedded.
Empirical evidence does not bestow its confirmatory power on any one individual hypothesis.
Combine the hypotheses prediction into a final overall call by taking into account the individual hypothesis predictions and their respective confidence levels.
Similar(48)
For simultaneous testing of individual hypotheses, the nonparametric Hochberg stepup procedure strongly controls the familywise type I error rate asymptotically.
Such comparative plausibilities are much easier to assess than specific numerical prior plausibility values for individual hypotheses.
The AdaBoost algorithm generates a set of hypotheses and they are combined through weighted majority voting of the classes predicted by the individual hypotheses.
Hence, asymptotically the proposed Hochberg procedure strongly controls the familywise type I error rate for the simultaneous testing of the individual hypotheses.
Experimental setup, description of baseline systems, and evaluation procedures of individual hypotheses mentioned above are presented in Section 4, while Section 5 presents experimental results.
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