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We give an answer to this question using a maximal entropy approach.
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Another proposal is the maximum entropy approach (Pearl 1988, 490 496; Goldszmidt, Morris and Pearl, 1993; Pearl 1990).
Expression profiles for each gene were discretized using a maximum entropy approach that uses three equally-sized bins (q3 quantization).
We used a multi-threshold version of the maximum entropy approach of (Kapur et al., 1985).
In this case, the maximum entropy approach performed better than the random approach even when only few models were available.
The potential present distribution of both species was computed with a maximum entropy approach [ 50] in Maxent v. 3.3.3 [ 51].
The first scheme is based on maximum entropy approach, an accepted information theoretic criterion for model selection.
Here we implement an experimental design strategy based on a maximum entropy approach.
In the maximal entropy principle, assuming stationarity, one looks for the probability distribution which maximizes the statistical entropy given those constraints.
Those conclusions where obtained using the maximal entropy principle[14].
In statistical physics, they are usually derived from the maximal entropy principle [14].
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