Designing the network architecture must take into account the representation of the input pattern vector and how it will interact with the network while propagating information through the network [ 14].
Features (i.e., voxels) were transformed into a pattern vector and a linear SVM classifier with a fixed regularization parameter C = 1 was trained to discriminate between schema components that consisted of (1) rule-based associations, and (2) low-level visual features of the task material.
Second, besides the interaction identified by the multi-level interaction DB, we detected patterns of neighbor entities, built pattern vectors, and inferred undiscovered interaction.
The underlying BCM theory expresses the changes in synaptic weights as a product of the input stimulus pattern vector, x, and a function, ϕ.
One way of achieving this objective is to treat both the pattern vector x and (omega _{j}) as random variables; compute the class (omega _{j}) probabilities for a given pattern x, (p omega _{j}|mathbf{x})); and then assign x (in mathcal {X}) to the class (omega _{j}in Omega ) for which the (p omega _{j}|mathbf{x})) value is maximum [11 14].
Further studies will be required to characterize the transmission patterns, vectors, and risk factors for P. knowlesi in deforested areas of Malaysia.
Finally, the IE function computed the degree of match between the patient vectors and the trial pattern vector (Step 4) and output the ranked list of patients based on the matching scores (Step 5).
Typically a Gaussian activation function producing a radial function of the distance between each hidden unit weight vector and each pattern vector is used as a basis function: (5) ρ (| | x i − c i | | ) = exp (− | | x i − c i | | σ 2 ) where σ indicates the neuron radius [ 40, 41].
In our computation of memory consumptions, we include the memory space needed for the pattern vector, the trace file, and the intermediate data generated by the MapReduce paradigm.
Mathematically, each strain is represented as the outer product of the binary spoligotype deletion vector and the MIRU pattern vector, which results in a biomarker kernel matrix.
Using this technique, each observed pattern vector (ith hand, jth finger, and nth run) was decomposed into a common component for the hand, finger, and run and a noise component.
