This paper reviews theories developed to understand the properties and behaviors of multi-view learning and gives a taxonomy of approaches according to the machine learning mechanisms involved and the fashions in which multiple views are exploited. This survey aims to provide an insightful organization...
.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...
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...
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...
1. Deep Representation Learning 针对深度表示学习,主要介绍了下面三种方法: Schema of deep multi-view representation learning models. SplitAE W. Wang, R. Arora, K. Livescu, and J. Bilmes, “On deep multi-view representation learning,” in International conference on machine learning. PMLR, 2015...
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...
”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)
With the emergence of the Internet of Things (IoT) and the rise of shared multimedia content on social media networks, available datasets have become incre
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...