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He then used an artificial neural network the best approximation to a real nervous system that science has come up with to work out which bits of the cleaned-up signal predicted when a rat would go on to move the lever.
A 1.5 LOD drop interval is considered the best approximation to a 95% confidence interval in QTL mapping (Dupuis and Siegmund 1999).
The support intervals for the map locations of QTL were calculated using a 1.5 LOD drop interval which is considered the best approximation to a 95% support interval in QTL mapping.
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An element (y_{0} in A) is said to be a best approximation to x if d x,y_{0})=D x,A).
Consequently, g ( s ) is a best approximation to f ( s ) in Y for almost every s ∈ A by Corollary 1.
A point (yin M) is said to be a best approximation to (pin X), if (d y,p preceq d z,p)) for all (zin M).
For a nonempty subset M of a metric space ( X, d ) and p ∈ X, an element y ∈ M is called a best approximation to p if d ( p, y ) = dist ( p, M ), where dist ( p, M ) = inf { d ( p, z ) : z ∈ M }.
Suppose f ∈ L φ ( A, X ) and g is a strongly μ-measurable function such that g ( s ) is a best approximation to f ( s ) from Y for almost everywhere s ∈ A. Then g is a best approximation to f from L φ ( A, Y ).
An algorithm to find a best approximation to ƒ from U can be constructed by cyclically searching the one-dimensional spaces spanned by each ui.
Thus, if (x =eta+xi), (operatorname {dist} x,K) = inf_{eta 'in K} Vert eta+xi-eta'Vert geq Vert xi Vert = Vert x- P x Vert ), showing that (P x)) is a best approximation to x.
For solving the equilibrium problem, Combettes and Hirstoaga [5] introduced an iterative algorithm of finding the best approximation to the initial data and proved a strong convergence theorem.
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