The operatorbooleanis supported only in Stateflow®charts. In MATLAB®, uselogical. Examples expand all Convert Numeric Expression to Boolean Value Input Arguments expand all X— Numeric expression scalar | vector | matrix | multidimensional array Version History Introduced before R2006a See Also logical Topics Type Cast Operations Wh...
a— Input fi object scalar | vector | matrix | multidimensional array Input fi object, specified as a scalar, vector, matrix, or multidimensional array. Data Types: fi T— Input numerictype object scalar Input numerictype object, specified as a scalar. ...
Each column corresponds to a document vector; 0 0 1 1 0 1 0 0 0 1 0 0 0 0 1 0 0 0 is the document vector of d1. The terms in the matrix are maintained in sorted order for processing efficiency. Using this matrix, one can easily find all the documents that contain a given ...
In particular we focus on pattern matching in high dimensional vector spaces to address the nearest neighbor search problem. Recent progress in nanotechnology provides us novel nano-devices with special nonlinear response characteristics that fit cognitive tasks better than general purpose computing. We ...
XOR gates are used to implement the addition modulo 2 of the perturbation vector and the present state. The probability that either a Boolean function works or a perturbation works (given in (4)) is computed by a stochasticn-input OR gate. This probability is then encoded into the output ...
The master equation of this continuous-time Markov chain is the system of linear ordinary differential equations: dx(t) = Kx(t) dt (3) where x(t) is a column vector of 2n elements, with the ith element xi(t) being the proba- bility that the BN occupies the ith binary state Si of...
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μshtam ¼ 1 nÃ2n Xn X2n h f i¼1 k¼1 iðxkÞ⊕ f 0 i ðxk Þ; where fi(•) and f 0 i ð•Þ represent the Boolean function of gene i in the ground-truth network and the inferred net- work, respectively; xk represents a binary state vector, and ...
Recently, [10] uses a hierarchically whitened feature space, where the square of the vector norms serves as a saliency metric to measure how far a pixel feature vector deviates from the center of the data. Besides the contrast and rarity priors for saliency, local symmetry has also been ...
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