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We first propose a statistical way, based on constructing a one-sided confidence interval and hypothesis testing, to determine if an association rule is meaningful.
Then, the second one is designed based on constructing a maximum common adaptive parameter, which can overcome the problem of over-parameterization of the first controllers.
This approach is based on constructing a minimalistic observational framework grounded within a conceptual model.
The mutation operator is based on constructing a predictive model of velocity deficits across a layout so that mutations are inherently biased towards better layouts.
The method proposed is based on constructing a subset of the solutions of the kinematics equations contained in a vector spline functional space whose order may be arbitrarily specified.
Briefly, tICA is based on constructing a time-lagged covariance matrix (TLCM): CTL = 〈X t XT(t + τ)〉 and the usual covariance matrix C = 〈X t XT t)〉, where X t) is the data vector at time t, τ is the lag-time, and the symbol 〈…〉 denotes the time average.
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The method is based on constructing an adaptive kriging metamodel of the probabilistic performance metric of interest in the low-dimensional modal space of the system.
Our approach is based on constructing an adjoint equation for and proving that and its adjoint equation have the same number of linearly independent periodic solutions.
Mittal and Schulz [9] presented an FPTAS for minimizing a general class of low-rank functions over a polytope, and their algorithm is based on constructing an approximate Pareto-optimal front of the linear functions that constitute the objective function.
Our approach is based on constructing an adjoint equation for (4) with respect to a discrete analog for function (3) and proving that (4) and its adjoint equation have the same number of linearly independent periodic solutions.
Our smoother result is based on constructing an exact representation of the solution avoiding the calculations of some resolvent estimates of the involved operators and the study of some properties of the multivalued linear operator (LM^{-1}).
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