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A Bayesian robust classifier is one whose expected performance is better than the expected performances of the other classifiers.
For computing the χ 2 goodness of fit statistics we group the cells whose expected number is less than 5 such that the expected number of grouped cell is not less than 5.
Mailings were therefore sent to voters whose expected probability of voting was deemed to be moderate.
We study agents whose expected utility preferences are interdependent for informational or psychological reasons.
We also give a more practical algorithm whose expected time is better than the worst case time.
At least we would like a global filter whose expected increase is close to that for a maximally robust state.
The divestitures that have occurred have usually been spin-offs of recent acquisitions whose expected synergies never materialized.
A model of a quasi-competitive industry is constructed, in which the firm's sales are described by a random variable whose expected rate of change depends on price.
In addition, we develop a randomized online algorithm whose expected number of misses is close to that of the best combined list chosen in hindsight.
Many learning systems search through a space of possible performance elements, seeking an element whose expected utility, over the distribution of problems, is high.
The implication is that it equally values a guaranteed payoff of $21 with any set of probabilistic payoffs whose expected value is also $21.
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CEO of Professional Science Editing for Scientists @ prosciediting.com