Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study
出版年份 2013 全文链接
标题
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study
作者
关键词
Learning from unlabeled data, Semi-supervised learning , Self-training, Co-training, Multi-view learning, Classification
出版物
KNOWLEDGE AND INFORMATION SYSTEMS
Volume 42, Issue 2, Pages 245-284
出版商
Springer Nature
发表日期
2013-11-25
DOI
10.1007/s10115-013-0706-y
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- A survey of multi-view machine learning
- (2013) Shiliang Sun NEURAL COMPUTING & APPLICATIONS
- A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning
- (2012) Salvador Garcia et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A novel semi-supervised learning framework with simultaneous text representing
- (2012) Yan Zhu et al. KNOWLEDGE AND INFORMATION SYSTEMS
- A hybrid generative/discriminative method for semi-supervised classification
- (2012) Zhen Jiang et al. KNOWLEDGE-BASED SYSTEMS
- A multiple kernel framework for inductive semi-supervised SVM learning
- (2012) Xilan Tian et al. NEUROCOMPUTING
- Toward the Optimization of Normalized Graph Laplacian
- (2011) Bo Xie et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- ROBUST CO-TRAINING
- (2011) SHILIANG SUN et al. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
- Effective semi-supervised document clustering via active learning with instance-level constraints
- (2011) Weizhong Zhao et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Selective sampling techniques for feedback-based data retrieval
- (2010) Hwanjo Yu DATA MINING AND KNOWLEDGE DISCOVERY
- When Does Cotraining Work in Real Data?
- (2010) Jun Du et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions
- (2010) Ke Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Combining Committee-Based Semi-Supervised Learning and Active Learning
- (2010) Mohamed Farouk Abdel Hady et al. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
- Semi-supervised learning based on nearest neighbor rule and cut edges
- (2010) Yu Wang et al. KNOWLEDGE-BASED SYSTEMS
- A classification algorithm based on local cluster centers with a few labeled training examples
- (2010) Tianqiang Huang et al. KNOWLEDGE-BASED SYSTEMS
- Genetic algorithm–based training for semi-supervised SVM
- (2010) Mathias M. Adankon et al. NEURAL COMPUTING & APPLICATIONS
- Co-training with relevant random subspaces
- (2010) Yusuf Yaslan et al. NEUROCOMPUTING
- Multiple-view multiple-learner active learning
- (2010) Qingjiu Zhang et al. PATTERN RECOGNITION
- Semi-supervised Bayesian ARTMAP
- (2009) Xiao-liang Tang et al. APPLIED INTELLIGENCE
- Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
- (2009) Salvador García et al. INFORMATION SCIENCES
- A new co-training-style random forest for computer aided diagnosis
- (2009) Chao Deng et al. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
- Semi-supervised learning by disagreement
- (2009) Zhi-Hua Zhou et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Self-supervised ARTMAP
- (2009) Gregory P. Amis et al. NEURAL NETWORKS
- Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training
- (2009) Mohamed Farouk Abdel Hady et al. NEURAL NETWORKS
- Semi-supervised clustering with metric learning: An adaptive kernel method
- (2009) Xuesong Yin et al. PATTERN RECOGNITION
- Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle
- (2008) A. Fujino et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Learning to Detect Moving Shadows in Dynamic Environments
- (2008) A.J. Joshi et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- SemiBoost: Boosting for Semi-Supervised Learning
- (2008) P.K. Mallapragada et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Discretization for naive-Bayes learning: managing discretization bias and variance
- (2008) Ying Yang et al. MACHINE LEARNING
- Locality sensitive semi-supervised feature selection
- (2008) Jidong Zhao et al. NEUROCOMPUTING
- A unified framework for semi-supervised dimensionality reduction
- (2008) Yangqiu Song et al. PATTERN RECOGNITION
- KEEL: a software tool to assess evolutionary algorithms for data mining problems
- (2008) J. Alcalá-Fdez et al. SOFT COMPUTING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started