This paper proposes a new Modified Backtracking Ensemble Pruning algorithm (ModEnPBT), which is based upon the design idea of our previously proposed Ensemble Pruning via Backtracking algorithm (EnPBT), and however, aiming at overcoming its drawback of redundant solution space definition. Solution ...
1.Apruning algorithmbased on entropy theory for designing BP neural network structure is proposed.提出了一种基于熵理论的BP神经网络结构设计修剪算法。 2.Apruning algorithmfor neural network based on information entropy is proposed in this paper.典型非线性函数逼近的仿真试验结果表明,该修剪算法在保证其逼...
python train_main.py --pruning_algorithm="spp" Entropy-Based Pruning A pruning algorithm proposed by Hur et al. [3]. Gaussian distribution is used to calculate the information gain potential of a specific weight in a layer. By comparing this value to the overall entropy of a layer, weights...
@article{cheng2023survey, title={A Survey on Deep Neural Network Pruning:Taxonomy, Comparison, Analysis, and Recommendations}, author={Hongrong Cheng and Miao Zhang and Javen Qinfeng Shi}, journal={arXiv preprint arXiv:2308.06767}, year={2023} }About...
"compression": [ { "algorithm": "filter_pruning", "pruning_init": 0.1, "params": { "schedule": "exponential", "pruning_target": 0.8, "pruning_steps": 15, "filter_importance": "geometric_median" } } ] INFO:nncf:Please, provide execution parameters for optimal model init...
1.A new algorithm named SPIU is proposed,which make use of the previous mining results andpruneto the candidate frequent sequence.SPIU算法充分利用了原有的挖掘结果,并对产生的候选频繁序列进行剪枝,有效地减小了候选频繁序列的大小,从而很好地改善了挖掘效率。
Endisch,Stolze,Endisch,Hackl,Kennel 摘要: This paper presents a pruning algorithm using adaptive pruning interval for system identification with general dynamic neural networks (GDNN). GDNNs are artificial neural networks with internal dynamics. All layers have feedback connections with time delays to...
After pruning and consolidating, the current journey requires covers just two pages:/us-en → /products/robotic-process-automation: Traffic growth wasn’t the goal of this pruning exercise—Bryan was happy that the team ensured no change to site traffic. Instead, it was the subjective experience...
Applications such as speech recognition and language understanding often apply a deep neural network to en... D Gao,X He,Z Zhou,... - Kdd 20: Acm Sigkdd Conference on Knowledge Discovery & Data Mining 被引量: 0发表: 2020年 An Improved Neural Network Algorithm for Remote Sensing Image ...
where identifying the first validated code snippet comprises performing machine learning and natural language processing in combination with code analysis techniques to implement an input/output matching algorithm for selecting a candidate code snippet which generates the same output as the first library fun...