在本文中,作者将重点放在不确定性估计问题(uncertainty estimation problem)上,并从证据理论(Theory of Evidence)的角度来研究它[4,5]。 将分类网络的标准输出softmax解释为类别分布的参数集。通过用Dirichlet密度的参数替换这个参数集,我们将学习者的预测表示为可能的softmax输出的分布,而不
Classify pedestrians and bicyclists based on their micro-Doppler characteristics using deep learning and time-frequency analysis.
Prepare the test data. The LSTM neural networknetwas trained using mini-batches of sequences of similar length. Ensure that the test data is organized in the same way. Sort the test data by sequence length. numObservationsTest = numel(XTest);fori=1:numObservationsTest sequence = XTest{i}...
深度学习(Deep Learning)基础概念1:神经网络基础介绍及一层神经网络的python实现 刘博 关于Deep Learning未来发展的十大挑战(瓶颈) 前些日子看到一篇有趣的文章 Gary Marcus “Deep Learning: A Critical Appraisal” in arXiv:1801.00631。其中分析了目前deep learning发展的瓶颈和面临的挑战。在不同场合不同平台上,目...
However, this loss function performs suboptimally in the presence of over- or under-represented classes in the image, causing the over-represented class to dominate the training of the CNN, leading to a biased model. This problem is especially apparent in digital pathology for segmentation tasks ...
[DeepLearning 综述]DeepLearning Classification [blog] (2019.01) A Survey of the Recent Architectures of Deep Convolutional Neural Networks [paper] https://paperswithcode.com/task/image-classification https://www.reddit.com/r/computervision/ https://www.reddit.com/r/MachineLearning/Activity...
Voice disorders are very common in the global population. Many researchers have conducted research on the identification and classification of voice disorders based on machine learning. As a data-driven algorithm, machine learning requires a large number
In this regard, the complex and variable nature of geological structures, difficulty in prediction, and frequency of the construction process in the tunnel face have made the research problem very prominent. Moreover, if rock mass structure is not accurately predicted, the tunnel face encounters ...
A Survey on Text Classification: From Shallow to Deep Learning-文本分类大综述 从1961-2020年文本分类自浅入深的发展 摘要。文本分类是自然语言处理中最基本的任务。由于深度学习的空前成功,过去十年中该领域的研究激增。已有的文献提出了许多方法,数据集和评估指标,从而需要对这些内容进行全面的总结。本文回顾1961...
Y. Tang “Deep Learning using Linear Support Vector Machines," International Conference on Machine Learning 2013: Chal- lenges in Representation Learning Workshop. Atlanta, Georgia, USA. (2013), pp. 1-6 Google Scholar 22 D.P. Tian “A review on image feature extraction and representation tech...