Exact(1)
The solution, referred to as the sparse heterogeneous feature representation (SHFR), is implemented by creating a binary classifier for each class in the source and the target domains separately.
Similar(59)
But they again declined to accept tax increases as a part of the solution, referring instead to "common-sense spending cuts and reforms".
The solution refers to paddle impellers and flat-blade turbines operating in a laminar mixing regime.
For higher orders, i.e., t>2, the solution refers to the calculation of the variance of a truncated multivariate normal distribution [24].
According to the mathematical formulation of the problem, the solution refers to a weight vector w and a scalar b that satisfy the optimization problem min | | w | |, y i (w T x i + b ) ≥ 1, i = 1, …, N, where N is the number of samples.
We demonstrate that the logarithm of the light transmitted through the sample solution, referred to as pseudo-absorbance, can suffice to determine macromolecular transport parameters of interest, with little loss of precision.
In a prior-guided DOT image reconstruction, we first discretize the target domain by generating a pair of meshes, a fine one for the forward solution (referred to as the forward mesh), and a coarse one for the inversion (referred to as the parameter mesh) [ 30].
The proposed solution, referred to as the heterogeneous defect prediction (HDP) approach, is to first select the important features from the source domain using a feature selection method to eliminate redundant and irrelevant features.
In this paper, we propose a new particle swarm optimization algorithm incorporating the best human learning strategies for finding the optimum solution, referred to as a Self Regulating Particle Swarm Optimization (SRPSO) algorithm.
By realising the present process configuration, yields about 27% for lactic acid enriched solution and up to 73% for the amino acid solution referred to the silage juice raw material were gained, respectively.
The new Rao-Blackwellized version of the ReDif-PF was compared to an exact broadcast implementation of the optimal centralized PF solution, referred to as the DcPF algorithm, and to two equivalent, fully distributed PFs using respectively iterative minimum consensus (CbPFa) and flooding (CbPFb).
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