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ornamental    音标拼音: [,ɔrnəm'ɛntəl]
n. 装饰物
a. 装饰性的,装饰的,装饰用的

装饰物装饰性的,装饰的,装饰用的

ornamental
adj 1: serving an esthetic rather than a useful purpose;
"cosmetic fenders on cars"; "the buildings were
utilitarian rather than decorative" [synonym: {cosmetic},
{decorative}, {ornamental}]
n 1: any plant grown for its beauty or ornamental value



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英文字典中文字典相关资料:


  • GitHub - wjq-learning EEGMamba: [Neural Networks 2025] EEGMamba: An EEG . . .
    We propose EEGMamba, a novel EEG foundation model based on Mamba state space model, for EEG decoding on various clinical and BCI application The camera-ready version of the paper will be available at Neural Networks
  • EEGMamba: An EEG foundation model with Mamba - ScienceDirect
    In this paper, we investigate the potential of Mamba for learning generic EEG representations and propose a novel EEG foundation model, EEGMamba Specifically, we employ Mamba encoder as the backbone of EEGMamba to model the spatiotemporal dependencies among EEG patches
  • EEGMamba: Bidirectional State Space Model with Mixture of Experts for . . .
    EEGMamba seamlessly integrates the Spatio-Temporal-Adaptive (ST-Adaptive) module, bidirectional Mamba, and Mixture of Experts (MoE) into a unified framework
  • EEG使用Mamba架构 - 知乎
    EEGMamba,作为一个 多任务EEG网络,它使用多层BiMamba架构,便于提取过去信息与未来信息,作为时序特征提取模块。 前置是一个自适应卷积模块,完成通道维度和时序维度的标准化。 后端接入包含多个作为专家的多层感知层,以获得分类结果。
  • README. md · weighting666 EEGMamba at main - Hugging Face
    We’re on a journey to advance and democratize artificial intelligence through open source and open science
  • EEGMamba: An EEG foundation model with Mamba - Semantic Scholar
    In this paper, we investigate the potential of Mamba for learning generic EEG representations and propose a novel EEG foundation model, EEGMamba Specifically, we employ Mamba encoder as the backbone of EEGMamba to model the spatiotemporal dependencies among EEG patches
  • 基于Mamba架构的EEG基础模型EEGMamba:提升脑电 . . .
    针对这一难题,研究人员开展了一项创新性研究,提出EEGMamba模型框架。 该研究最引人注目之处在于巧妙结合了符号回归(symbolic regression)和强化学习,通过挖掘物理系统的基本原理来构建可解释的数学模型。
  • EEGMamba: Bidirectional State Space Model with Mixture of Experts. . .
    EEGMamba integrates three main innovations: the Spatio-Temporal-Adaptive (ST-Adaptive) module for unified feature extraction, Bidirectional Mamba to balance accuracy and computational efficiency, and a Task-aware Mixture of Experts (MoE) to handle the differences and similarities across EEG tasks
  • EEGMamba: An EEG foundation model with Mamba - 百度学术
    In this paper, we investigate the potential of Mamba for learning generic EEG representations and propose a novel EEG foundation model, EEGMamba Specifically, we employ Mamba encoder as the backbone of EEGMamba to model the spatiotemporal dependencies among EEG patches
  • Jiquan Wang - 王跻权 - Homepage
    This paper proposes a novel EEG Foundation Model 🤖 called EEGMamba, with Mamba state space model as the backbone EEGMamba achieves competitive performance across up to 6 downstream BCI tasks with 6 public datasets, proving its strong capability and generalizability





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