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Brief Introduction to CSS, Javascript, and Bootstrap
In this chapter, we will provide a brief introduction to CSS, JavaScript, and Bootstrap. In particular, we will present how to add styling to the...
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Sampling and Forecasting Independent Data Via Clustered Bootstrap LSTM Models
In this study we propose a clustered bootstrap sample procedure which adds clustering to the existing bootstrap** techniques currently used in the...
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Dash Bootstrap Components
This chapter covers Dash Bootstrap Components, a Python library from the Plotly family that enables key Bootstrap functionalities on a Dash web app,...
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Bootstrap Component
How to make a component as starter component.
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BYEL: Bootstrap Your Emotion Latent
With the improved performance of deep learning, the number of studies trying to apply deep learning to human emotion analysis is increasing rapidly....
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Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement
Learning-based methods have attracted a lot of research attention and led to significant improvements in low-light image enhancement. However, most...
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Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines
This paper proposes and discusses a new procedure to estimate the forecast distribution for nonlinear autoregressive time series. The approach...
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Uncertainty Estimation in Liver Tumor Segmentation Using the Posterior Bootstrap
Deep learning-based medical image segmentation is widely used and has achieved the state-of-the-art segmentation performance, in which nnU-Net is a...
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Tachycardia Discrimination in Implantable Cardioverter Defibrillators Using Support Vector Machines and Bootstrap Resampling
Accurate automatic discrimination between supraventricular (SV) and ventricular (V) tachycardia (T) in implantable cardioverter defibrillators (ICD)...
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A New Fast Bloc Matching Algorithm Using Unsupervised Bayesian Classifier with Bootstrap Gaussian Expectation Maximization Algorithm
This paper proposes a two-step block matching algorithm for motion estimation. To reduce the algorithmic complexity, the unsupervised Bayesian...
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Bootstrap Component
This section talk about how we can set as start component.
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Moving objects detection in thermal scene videos using unsupervised Bayesian classifier with bootstrap Gaussian expectation maximization algorithm
In this paper, a new algorithm for moving object detection is proposed by using unsupervised Bayesian classifier with bootstrap Gaussian expectation...
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Bootstrap Generalization Ability from Loss Landscape Perspective
Domain generalization aims to learn a model that can generalize well on the unseen test dataset, i.e., out-of-distribution data, which has different...
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Robust Clustered Federated Learning with Bootstrap Median-of-Means
Federated learning (FL) is a new machine learning paradigm to collaboratively learn an intelligent model across many clients without uploading local...
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Revisiting Approximate Query Processing and Bootstrap Error Estimation on GPU
Sampling-based Approximate Query Processing (AQP) is one of the promising approaches for timely and cost-effective analytics over big data. There are...
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Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap
White matter (WM) tract segmentation is a crucial step for brain connectivity studies. It is performed on diffusion magnetic resonance...
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A Bootstrap-Surrogate Approach for Sequential Experimental Design for Simulation Models
The bootstrap method is a widely used tool for quantifying the uncertainty associated with a given statistical estimator or machine learning method....
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Fast and accurate bootstrap confidence limits on genome-scale phylogenies using little bootstraps
Felsenstein’s bootstrap approach is widely used to assess confidence in species relationships inferred from multiple sequence alignments. It...
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Distributed Parallel Bootstrap Adaptive Algebraic Multigrid Method
We propose a fully distributed parallel adaptive generalization of the Ruge–Stuben algebraic multigrid method. In the adaptive multigrid framework,...