Self-Trained LMT for Semisupervised Learning

Enhancement of ELM by Clustering Discrimination Manifold Regularization and Multiobjective FOA for Semisupervised Classification

(2015) Qing Ye et al.   Computational Intelligence and Neuroscience

Semi-supervised self-training for decision tree classifiers

(2015) Jafar Tanha et al.   International Journal of Machine Learning and Cybernetics

Improve the performance of co-training by committee with refinement of class probability estimations

(2014) Shuang Wang et al.   NEUROCOMPUTING

Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study

(2013) Isaac Triguero et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A survey of multi-view machine learning

(2013) Shiliang Sun   NEURAL COMPUTING & APPLICATIONS

Pattern classification and clustering: A review of partially supervised learning approaches

(2013) Friedhelm Schwenker et al.   PATTERN RECOGNITION LETTERS

A hybrid generative/discriminative method for semi-supervised classification

(2012) Zhen Jiang et al.   KNOWLEDGE-BASED SYSTEMS

A Boosted Co-Training Algorithm for Human Action Recognition

(2011) Chang Liu et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

CoTrade: Confident Co-Training With Data Editing

(2011) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

ROBUST CO-TRAINING

(2011) SHILIANG SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Multiple-View Multiple-Learner Semi-Supervised Learning

(2011) Shiliang Sun et al.   NEURAL PROCESSING LETTERS

When Does Cotraining Work in Real Data?

(2010) Jun Du et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Discriminative Semi-Supervised Feature Selection Via Manifold Regularization

(2010) Zenglin Xu et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

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

Co-training with relevant random subspaces

(2010) Yusuf Yaslan et al.   NEUROCOMPUTING

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

Data clustering: 50 years beyond K-means

(2009) Anil K. Jain   PATTERN RECOGNITION LETTERS