We seek to reconstruct each weight ω (a, b) and each probability.
Second, from the regularized PFM, we reconstruct a position weight matrix (PWM) whose element is the log-odds score between the PFM and background model, defined by a zero-order Markov chain.
In this mode we first apply the "absolute" algorithm at each set of k genomic regions separately and next reconstruct a single weight matrix.
Sparse representation, on the other hand, finds a subset of elements from a dictionary and the corresponding weights to reconstruct an entire patch (dictionary learning simultaneously finds a dictionary).
H is a small matrix of sparse basis patterns, technically called basis vectors, which we refer to as codes, and W is a matrix of weights to reconstruct V using the codes in H. Within a single basis pattern highly correlated input variables have positive values.
It computes the k nearest neighbours of each data point in D-dimension at first, and then generates a weight matrix that best reconstructs each data point from its neighbours, and finally computes the d dimensional embedding coordinates that reconstructed by the weight matrix.
Well, this movie, so accomplished visually, is still a good frame for Firth's performance: a man who has had to construct or reconstruct a personality to bear the weight of loss, and whom society will not permit to grieve.
These weights are used in a spatially varying weighted averaging to reconstruct the target CT [ 17].
An alternative strategy to that chosen in this study is to "reconstruct" the prey composition using length-weight conversions for prey actually observed in the stomach contents.
Matrix W contains weights on how to reconstruct each row of V using the codes in H.
As pointed out by Wiback et al. [ 27], the extreme pathways (and elementary modes) weighting factors used to reconstruct a particular flux vector may not be unique.
