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- Robust Gaussian process regression based on iterative trimming
The Gaussian process (GP) regression can be severely biased when the data are contaminated by outliers This paper presents a new robust GP regression algorithm that iteratively trims the most extreme data points
- Flexible Data Trimming Improves Performance of Global Machine . . . - MDPI
We applied a flexible data trimming technique FloWPS to enhance performance of seven popular ML methods, including linear SVM, k nearest neighbors (kNN), random forest (RF), Tikhonov (ridge) regression (RR), binomial naïve Bayes (BNB), adaptive boosting (ADA) and multi-layer perceptron (MLP) We performed computational experiments for 21 high
- Robust Gaussian Process Regression Based on Iterative Trimming - arXiv. org
Applied to a wide range of experiments with dierent contamination levels, the proposed method signicantly outperforms the standard GP and the popular robust GP variant with the Student- likelihood in most test cases
- Trimming the Fat: Efficient Compression of 3D Gaussian Splats through . . .
Specifically, we propose "Trimming the fat", a post-hoc gradient-informed iterative pruning technique to eliminate redundant information encoded in the model Our experimental findings on widely acknowledged benchmarks attest to the effectiveness of our approach, revealing that up to 75% of the Gaussians can be removed while maintaining or even
- STAMP: Simultaneous Training and Model Pruning for low data regimes in . . .
STAMP is an iterative framework to simultaneously train and prune CNN models Targeted dropout was found to stabilise model pruning between iterations STAMP pruned UNet architectures for segmentation, reducing model size more than 85% The most heavily pruned regions indicate redundancy in the original UNet
- Gate Trimming: One-Shot Channel Pruning for Efficient Convolutional . . .
In this work, we propose a one-shot global pruning approach called Gate Trimming (GT), which is more efficient to compress the CNNs To achieve this, GT performs the pruning operation once, avoiding expensive retraining or re-evaluation of channel redundancy
- Trimming Gene Deletion Strategies for Growth-Coupled . . . - PubMed
The results of the computer experiments showed that TrimGdel can calculate stoichiometrically feasible gene deletion strategies, especially those whose sizes are 1 to 5% of whole genes, which lead to growth-coupled production of many target metabolites, which include useful vitamins such as biotin and pantothenate, for which existing methods cou
- An Efficient Trimming Algorithm based on Multi-Feature Fusion Scoring . . .
Here, we present PE-Trimmer, a sensitive and special trimming algorithm for NGS sequence First, PE-Trimmer removes technical sequences in paired-end reads based on the characteristics of low quality reads in NGS data
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