Algorithm 2. Prune Input: Hyperparameter space Λ, observation history H, region radius δ, fraction of the pruned space ν. Output: Pruned hyperparameter space Λpruned ⊆ Λ. 1: Estimate the most similar data sets of the new data set N (Dnew) using Equation 7. 2: Estimate the set...
Exact for, best (smallest) values obtained for eachnbetween 3 and 20 by running akmeans-type clustering algorithm on aregular grid in; see [28]. The values plotted are therefore not necessarily equal to the true values of, but we believe that the overestimation is negligible. Values larger...
Satisfiability of word equations problem is: Given two sequences consisting of letters and variables decide whether there is a substitution for the variables that turns this equation into true equality. The exact computational complexity of this problem remains unknown, with the best lower and upper ...
Therefore, a partial derivative calculation method for iterations is proposed to calculate the system matrices of an SSM. Fixed number iteration algorithm is selected to solve the co-operating equations. The number of iteration also affects the differential calculation. Suppose that the number of ...
minimax techniquesstatistical analysistrees (mathematics)/ quantile estimate computationspace-efficient on-line methodrecursive methoduniform d-ary treerandom valuesroot nodetall trees/ C1140Z Other topics in statistics C1160 Combinatorial mathematics C4240 Programming and algorithm theoryThe task of computing...
The main issue of their procedure is in its complexity and lack of proper interpretation for the seemingly unexpected results from varying the value of the storage space constraint. In this paper, we first investigate their procedure to shed the light of what causes their questionable results. ...
As the estimation time increases, the size of the states to be estimated will continue to grow, leading to a sharp increase in computational complexity and a decrease in algorithm efficiency. Typically, a sliding window based on keyframes is used to control the size of the states to be optimi...
Algorithm 1 MaxPro coordinate-exchange. Input: n:size of the designp1:number of continuous factorsp:number of factorscons:constraint functionsbounds:bounds of continuous factors and sets of discrete factors. D← randomly generate an initial matrix with consandbounds as inputs fori = 1,…,n ...
This paper proposes a space-filling method, called maximum projection coordinate-exchange (MP-CE), taking into account both the diversity of factor types and the complexity of factor constraints. Specifically, the maximum projection criterion and distance criterion are introduced to capture the “bad...