In this article, we propose a multi-level deep learning approach (MuDeLA) for intrusion detection systems (IDS). The MuDeLA is based on CNN and MLP to enhance the performance of detecting attacks in the IDS. The MuDeLA is evaluated by using various well-known benchmark datasets like KDDCup...
Next, we investigated whether CAMP can also be applied to assess the binding affinity of peptide–protein pairs. Here, we made a comparison between CAMP and several baseline methods, including random forest (a conventional machine-learning based framework), DeepDTA (a deep-learning-based framework)...
【Deep Learning】M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network解读,程序员大本营,技术文章内容聚合第一站。
Multi-level Feature Learning for Contrastive Multi-view Clustering(CVPR-2022) 1.背景:多视图聚类可以从多个视图中探索通用语义,但是现有工作在同一特征空间中惩罚多个目标,忽略了学习一致的公共语义和重建不一致的视图私有信息之间的冲突。在本文中,提出了一个新的多层次特征学习框架,用于对比多视图聚类,以解决上述问...
Multi-Level Confidence Learning for Trustworthy Multimodal Classification 发表时间:2023 背景与动机 过去几年中,多模态学习已经被广泛研究,并在与单模态学习模型相比时通常获得显著的性能提升。然而,现有的多模态学习方法大多数在稳定性和解释性方面没有很好的保证。在现有方法中,特征的信息性、模态的信息性和决策的信...
Building upon the foundations of Q-learning, DQN is an extension that combines reinforcement learning with deep learning techniques15. It uses a deep neural network as an approximator to estimate the action-value functionQ(s,a). DQN addresses the main challenges of traditional Q-learning, such...
阅读笔记 A Deep Multi-Level Attentive network for Multimodal Sentiment Analysis,程序员大本营,技术文章内容聚合第一站。
Benefiting from the development of deep learning, many approaches (Eisenschtat, Wolf, 2017, Gu, Cai, Joty, Niu, Wang, 2018, Huang, Wu, Song, Wang, 2018, Karpathy, Joulin, Li, 2014a, Nam, Ha, Kim, 2017, Xu, He, Lu, Gao, Ji, 2019, Zheng, Zheng, Garrett, Yang, Shen, 2017)...
简单来说,其实就是在输入加入了lexical level features,只是一般lexical level features是等深度学习这边操作完成输出句子特征之后拼接这些特征,就像《Relation Classification via Convolutional Deep Neural Network》中的操作一样。 简单来说,现在原来一个词的向量维度变成了:一个词上下文的数量k * (词向量维度 + 位置...
Deep Learning Based MIMO Communications We introduce a novel physical layer scheme for single user Multiple-Input Multiple-Output (MIMO) communications based on unsupervised deep learning using a... TJ O'Shea,Senior Member,IEEE,... 被引量: 56发表: 2017年 Deep Learning Detection Networks in MIMO...