Exact(31)
Assigning a probability is like placing odds on a bet about it.
Each event is assigned a probability, which means mathematically that a probability is a function P mapping M into the real numbers that satisfies certain conditions derived from one's physical ideas about probability.
The only way to evaluate such a probability is to hazard a guess, but the thinking that goes into such guesses is "obscure, a part of the scientifically unfathomable mystery of life and mind," and one can have little faith in its accuracy.
These are numerical methods of measuring how good a probability is given the true state of the world.
Such a probability is about 9%% higher when the household has to rely on other sources of income.
A probability is computed for each training example, and the threshold is computed according to these probabilities.
Similar(29)
A crossover probability is chosen as a design parameter.
A joint probability is then determined for each alternative outcome by multiplying the prior probability by all conditional probabilities.
A priori probability is here modeled by MRF.
A 1% probability is admittedly small, but the probability will increase with time.
Using most mathematical models, the probability is just a handful out of a million, or less, for a given election.
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