Sentence examples for by a weight vector from inspiring English sources
Authors in [41, 42] have modified the dominance by a weight vector.
The neuron activations all calculated in such a way that all activations of the previous layer are multiplied by a weight vector, summed and passed through a non-linear activation function (e.g., sigmoid).
In this method, the response signal in the forward path and the reconstructed signal in the time reversed path are both modulated by a weight vector which is obtained as the product of a window function and the reciprocal of amplitude dispersion.
In the proposed W-MLS schemes, before selecting a best link, the systems multiply the link gains by a weight vector, such that the equivalent signal-to-noise ratios of S-R links are same, so does the ones of R-D links, such that the data packet delays at all relays are same.
Like all binary linear classifiers it finds a separating hyperplane H : ℝ d ∋ x ↦ sign(w T · x + b) ∈ {-1, 1} characterized by a weight vector w and a bias term b.
The base station can separate the multi-user data streams by beamforming, assigning a weight vector to each of N t active users.
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]).
For a weight vector obtained by WCB or other beamformers, we can define an "equivalent steering vector" for MPDR beamformer.
In the case of ordinal information, the weight can be represented by means of rank orders in a weight vector: the higher the value of the weight, the better the correspondent criterion.
where w is a weight vector represented by w = [w1, w2, w3,..., w N ] T. Here, we assume that w can be well described by the zero-mean Gaussian distribution with variance α n - 1, i.e., p w α = ∏ n = 1 N N w n ; 0, α n - 1.
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.
