Sentence examples for a weighting vector from inspiring English sources

In ANNs the input vector ({{varvec{x}}}) for each neuron k, is weighted with the aid of a weighting vector ({{varvec{w}}}_k ), and the result is summed (taking into account any bias) and then fed into a transfer function f to produce the overall output vector ({{varvec{y}}}_k ): begin{aligned} {{varvec{y}}}_k =f( {{{varvec{w}}}_k^T cdot {{varvec{x}}}} ) end{aligned} (5).

The similarity score is computed as the shared number of genes between both signatures (lists) including the weighted sum score as determined by a weighting vector (refer to [ 27]).

Both precoding and reconfigurable-antenna-based signal processing exploit the channel state information by operating on the transmit signal using a weighting vector that essentially assigns more transmit power along beams with strong channel and vice versa.

Here, given the MMV case we exploit the relationship between the noise subspace and the overcomplete basis to construct a weighting vector that can improve the performance of the ℓ1-SVD method.

By applying a weighting vector that is automatically optimized in the proposed method, the observations at the distorted subbands are adaptively suppressed, leading to a robust sparse reconstruction and DOA estimation performance in the presence of distorted subband signals.

By exploiting the maximum correntropy criterion which is inherently insensitive to the impulsive noise, a weighting vector is derived to automatically mitigate the effect of the distorted narrowband signals, and a robust group compressive sensing approach is developed to achieve reliable DOA estimation.

We present a new weighted voting classification ensemble method, called WAVE, that uses two weight vectors: a weight vector of classifiers and a weight vector of instances.

A weight vector lies orthogonal to this boundary and is the linear combination or weighted average of the support vectors.

Each face produces a weight vector.

A set (X) called a weight set or a weight vector is composed of (x_{i}).

Each individual is a weight vector containing weights to be adjusted.