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

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