Results 11 to 20 of about 256,372 (245)
Better Sum Estimation via Weighted Sampling [PDF]
Given a large set U where each item a ∈ U has weight w ( a ), we want to estimate the total weight \(W=\sum _{a∈ U} w(a)\) to within factor of 1± ɛ with some ...
Lorenzo Beretta, Jakub Tětek
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A new method of decision making in multi-objective optimal placement and sizing of distributed generators in the smart grid [PDF]
One of the most important aims of the sizing and allocation of distributed generators (DGs) in power systems is to achieve the highest feasible efficiency and performance by using the least number of DGs. Considering the use of two DGs in comparison to a
Hossein Ali Khoshayand +3 more
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Arithmetic-progression-weighted subsequence sums [PDF]
Let $G$ be an abelian group, let $S$ be a sequence of terms $s_1,s_2,...,s_{n}\in G$ not all contained in a coset of a proper subgroup of $G$, and let $W$ be a sequence of $n$ consecutive integers. Let $$W\odot S=\{w_1s_1+...+w_ns_n:\;w_i {a term of} W,\, w_i\neq w_j{for} i\neq j\},$$ which is a particular kind of weighted restricted sumset.
Grynkiewicz, David J. +2 more
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The paper studies distribution of sum of random processes from Orlicz spaces of exponential type weighted by continuous functions, in particular, processes from spaces Subϕ (Ω), SSubϕ (Ω) and class V (ϕ, ψ) are considered.
Dmytro Tykhonenko, Rostyslav Yamnenko
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Comparative Analysis of the Simple WISP and Some Prominent MCDM Methods: A Python Approach
This article presents a comparison of the results obtained using the newly proposed Simple Weighted Sum Product method and some prominent multiple criteria decision-making methods.
Dragiša Stanujkić +8 more
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Non-Linear Fusion of Observations Provided by Two Sensors
When we try to make the best estimate of some quantity, the problem of combining results from different experiments is encountered. In multi-sensor data fusion, the problem is seen as combining observations provided by different sensors.
Monir Azmani +2 more
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The enhanced horizontal derivative (EHD) is an enhancement filter whose maxima provide estimated locations of the sources' boundaries. This filter is defined as the total horizontal derivative (THDR) of a weighted sum of vertical derivatives of ...
Saulo Pomponet OLIVEIRA +4 more
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Repeated holdout validation for weighted quantile sum regression
Weighted Quantile Sum (WQS) regression is a method commonly used in environmental epidemiology to assess the impact of chemical mixtures in relation to a health outcome of interest.
Eva M. Tanner +2 more
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Gray Extreme Weighted Sum Image Ringing Evaluation Algorithm
In the process of image blind restoration, the estimation of the fuzzy kernel usually produces errors which lead to image ringing The existing algorithm cannot effectively evaluate the severity of ringing To solve this problem, a method for evaluating ...
KE Ming +4 more
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Quantitative Languages Defined by Functional Automata [PDF]
A weighted automaton is functional if any two accepting runs on the same finite word have the same value. In this paper, we investigate functional weighted automata for four different measures: the sum, the mean, the discounted sum of weights along edges
Emmanuel Filiot +2 more
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