Sun, S. A survey of multi-view machine learning. Neural Comput. Appl. 2013, 23, 2031-2038. [CrossRef]Sun S. A survey of multi-view machine learning. Neural Comput Appl 2013;23:2031-8.S. Sun, "A survey of multi-view machine learning," Neural Computing and Applications, vol. 23, ...
A survey of multi-view machine learning. SUN S. Neural Computing and Applications . 2013S. Sun, A survey of multi-view machine learning, Neural Comput. Appl. 23 (2013) 2031-2038, doi:10.1007/s00521-013-1362-6.Sun S (2013) A survey of multi-view machine learning. Neural Com- put ...
.Multi-view learning is a machine learning method that applies the knowledge from multiple views for modeling.Existing multi-view learning models mainly follow two principles:1)the consensus principle;2)the complementarity principle.In recent years,multi-view learning has provoked vast amount of ...
Multi-view unsupervised or semi-supervised learning, such as co-training, co-regularization has gained considerable attention. Although recently, multi-view clustering (MVC) methods have been developed rapidly, there has not been a survey to summarize and analyze the current progress. Therefore, this...
Multi-Task Learning (MTL) is a learning paradigm in machine learning and its aim is to leverage useful information contained in multiple related tasks to help improve the generalization performance of all the tasks. In this paper, we give a survey for MTL. First, we classify different MTL alg...
这篇文章是21年5月发表在IEEE Transactions on Pattern Analysis and Machine Intelligence上的一篇文章,到现在引用量近700次,主要关注了元学习(Meta Learning)的定义,主要算法,以及在多个领域及场景上的应用。 然后这篇笔记并不是一篇综述的翻译,而是按照survey的架构进行的重要概念描述,结合自己的理解尽可能详细地把一...
This paper presents a survey of an emerging dimensionality reduction approach for direct feature extraction from tensor data: multilinear subspace learning. It reduces the dimensionality of massive data directly from their natural multidimensional representation: tensors. This survey covers multilinear projecti...
tensor learning neural network-based multi-view clustering (NNMVC) deep representation learning deep graph learning 我们主要关心的是基于神经网络的方法。 MVC介绍 MVC一般的过程包含如下几个部分:输入,提取特征,根据每个view聚类,最终得到聚类结果。 General procedures of MVC. ...
A Survey of Surveys (NLP & ML) In this document, we survey hundreds of survey papers on Natural Language Processing (NLP) and Machine Learning (ML). We categorize these papers into popular topics and do simple counting for some interesting problems. In addition, we show the list of the pa...
”A Comprehensive Survey on Transfer Learning“笔记分为多部分,后文可见: 基础信息 论文地址: A Comprehensive Survey on Transfer Learningieeexplore.ieee.org/document/9134370 分支领域: Machine Learning (cs.LG); Machine Learning (stat.ML)