Statistical-cost network-flow approaches to two-dimensional phase unwrapping for radar interferometry[D].Stanford University,Stanford,California,USA,2001.C. W. Chen, "Statistical-cost network-flow approaches to two-dimensional phase unwrapping for radar interferometry," Ph.D. dissertation (Stanford ...
3) Network flow algorithm 网络流算法 1. New nonlinear minimum cost network flow algorithm; 一种新的非线性最小费用网络流算法4) network accounting system 网络计费系统 1. Design and implementation of network accounting system; 网络计费系统的设计与实现 更多例句>> 5) Network Billing System (...
Algorithm 2 Algorithm for statistical analysis of performance metrics across different sliding configurations Full size image The ConvLSTM1D-BiLSTM model was selected as the best candidate for fine-tuning. Initially, this model was trained using a sliding window configuration with input, output, and st...
(2021) tested four different algorithms such as Linear Regression, Moving Average, Dense Neural Network (DNN) and Wavenet which is a kind of deep convolution neural network, to predict global sea level rise. According to the results, the Wavenet algorithm was observed as the most accurate model...
A neural network model that would connect these two parameters would result in such a response function. On the other hand, suppose you had built a model based on a tree algorithm and training data that had only three distinct pedal inputs represented. In effect, such a model would only ...
SBM framework130. This over-exploration of a particular part of the problem space has almost certainly come at the cost of neglecting other related problems of network clustering126,137. (II) Accounting for reconstruction uncertainty. There are other practical cases where one asks the wrong ...
Simulation provides a controllable, efficient, and low-cost venue for both developing and testing autonomous vehicles (AV)3,4. But for simulation to be an effective tool, statistical realism of the simulated driving environment is a must2,4,5,6,7. In particular, the simulated environment needs...
We then apply the basic tree-growing algorithm to the training data only, with q = 1 and δ = 0—that is, we grow the largest tree we can. This is generally going to be too large and will over-fit the data. We then use cross-validation to prune the tree. At each pair of leaf...
Full size image Note that this pitfall applies not only to the 5-point ACR scale, but to all rating scales with discrete options. One alternative could be to use continuous rating scales in QoE studies, where users rate a continuous score, typically within a given range, e.g., [17]. ...
Implementation of this algorithm, however, is relatively complex and costly in terms system resources, and since scheduler accuracy may not be an overriding system objective, the additional cost in resources may not be worth the modest accuracy advantage. With the rapid expansion of Internet and ...