Sentence examples for rational probability from inspiring English sources

Exact(1)

We also assume that a rational probability measure \(P\) is associated with language \(L\), so that each \(h_{j}\) can be assigned with its epistemic probability \(P(h_{j}\mid e)\) given evidence \ e\).

Similar(58)

The prospects for future improvements in earthquake-resistant design procedures based on a more rational probability-based treatment of uncertainty are examined.

When translating rational probabilities into integral weights, we have to assure that the relative weight of each (unambiguously) generated word remains unchanged.

There the objectivist is able to uniquely determine the prior probabilities from the requirement that the rational prior probabilities should be invariant under switching the labels used to classify the balls in the urn.

However, no Objective Bayesian claims that there are principles that uniquely determine rational prior probabilities in all cases.

Rather, expected good is calculated by multiplying the value or disvalue of possible outcomes by rational or justified probability estimates.

For if strength of analogy is a critical determinant in a rational agent's probability function, then he should be comparably skeptical regarding all spectacular scientific discoveries—"And that is absurd".

The design procedure follows the nonlinear H infinity optimal control methodology to accomplish the best rational stabilization in probability for stochastic cellular neural networks, and to attenuate noises to a predefined level with stability margins.

Initial savings targets (where they existed) may have been met and investment in the host, rather than source, country seem to be more rational as the probability of return declines.

When you decide to build a factory or take a flyer on the stock market, the arithmetic of probability and rational decision theory provide no real guidance.

HALF a century of research has shown that people do not always follow the "rational" rules of classical probability theory when making decisions, particularly under conditions of uncertainty.

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