首页> 外文OA文献 >Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks

【2h】

Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks

机译：格兰杰 - 因果分别的专家混合物：用神经网络学习重要特征

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Patrick Schwab; Djordje Miladinovic; Walter Karlen;
展开▼
作者单位

展开▼
年度 2019
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. AKRNet: A novel convolutional neural network with attentive kernel residual learning for feature learning of gearbox vibration signals [J] . Ye Zhuang, Yu Jianbo Neurocomputing . 2021,第Auga4期

机译：AKRNET：一种小说卷积神经网络，具有细节核心剩余学习，用于齿轮箱振动信号的特征学习
2. Classification of ECG arrhythmia by a modular neural network based on Mixture of Experts and Negatively Correlated Learning [J] . Mehrdad Javadi, Seyed Ali Asghar Abbaszadeh Arani, Atena Sajedin, Biomedical signal processing and control . 2013,第3期

机译：基于专家和负相关学习的模块化神经网络对心电图心律失常进行分类
3. On-line learning of a mixture-of-experts neural network [J] . Huh NJ., Kang K., Oh JH. Journal of Physics, A. Mathematical and General: A Europhysics Journal . 2000,第48期

机译：专家混合神经网络的在线学习
4. Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks [C] . Patrick Schwab, Djordje Miladinovic, Walter Karlen AAAI Conference on Artificial Intelligence . 2019

机译：格兰杰 - 因果专家的专家混合物：用神经网络学习重要特征
5. Applications of expert systems, machine learning and neural networks in computer networks design. [D] . Fahmy, Hany I. 1996

机译：专家系统，机器学习和神经网络在计算机网络设计中的应用。
6. Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algorithm [O] . Piotr Boniecki, Małgorzata Idzior-Haufa, Agnieszka A. Pilarska, 2019

机译：基于自组织特征图人工神经网络和学习矢量量化算法的堆肥成熟度神经分类
7. Bounds for the average generalization error of the mixture of experts neural network [O] . Luís A. Alex, Aurélio Campilho, Mohamed Kamel 2004

机译：专家神经网络混合的平均泛化误差的界限
8. Predictive Regulation of Associative Learning in a Neural Network by Reinforcement and Attentive Feedback [R] . Grossberg, S., Levine, D., Schmajuk, N. 1987

机译：通过强化和注意反馈对神经网络中联想学习的预测调节

Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks

著录项

引文网络

相似文献

相关主题

期刊订阅