A Selection Metric for semi-supervised learning based on neighborhood construction

Improving Neighborhood Construction with Apollonius Region Algorithm based on Density for Clustering

(2020) Shahin Pourbahrami et al.   INFORMATION SCIENCES

Deep Co-Training for Semi-Supervised Image Segmentation

(2020) Jizong Peng et al.   PATTERN RECOGNITION

Density Peaks Clustering Based on Density Backbone and Fuzzy Neighborhood

(2020) Abdulrahman Lotfi et al.   PATTERN RECOGNITION

A self-training hierarchical prototype-based approach for semi-supervised classification

(2020) Xiaowei Gu   INFORMATION SCIENCES

Semi-supervised neighborhood discrimination index for feature selection

(2020) Qing-Qing Pang et al.   KNOWLEDGE-BASED SYSTEMS

Weighted samples based semi-supervised classification

(2019) Xia Chen et al.   APPLIED SOFT COMPUTING

A multiclass boosting algorithm to labeled and unlabeled data

(2019) Jafar Tanha   International Journal of Machine Learning and Cybernetics

Rumor detection in Arabic tweets using semi-supervised and unsupervised expectation–maximization

(2019) Samah M. Alzanin et al.   KNOWLEDGE-BASED SYSTEMS

A survey on semi-supervised learning

(2019) Jesper E. van Engelen et al.   MACHINE LEARNING

Search task success evaluation by exploiting multi-view active semi-supervised learning

(2019) Ling Chen et al.   INFORMATION PROCESSING & MANAGEMENT

A robust semi-supervised SVM via ensemble learning

(2018) Dan Zhang et al.   APPLIED SOFT COMPUTING

Revisiting transductive support vector machines with margin distribution embedding

(2018) Yanchao Li et al.   KNOWLEDGE-BASED SYSTEMS

MSSBoost: A new multiclass boosting to semi-supervised learning

(2018) Jafar Tanha   NEUROCOMPUTING

Efficient Cluster-Based Boosting for Semisupervised Classification

(2018) Rodrigo G. F. Soares et al.   IEEE Transactions on Neural Networks and Learning Systems

A novel and efficient data point neighborhood construction algorithm based on Apollonius circle

(2018) Shahin Pourbahrami et al.   EXPERT SYSTEMS WITH APPLICATIONS

A graph-based semi-supervised k nearest-neighbor method for nonlinear manifold distributed data classification

(2016) Enmei Tu et al.   INFORMATION SCIENCES

Semi-supervised learning combining transductive support vector machine with active learning

(2016) Xibin Wang et al.   NEUROCOMPUTING

Self-Trained LMT for Semisupervised Learning

(2016) Nikos Fazakis 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

Clustering by fast search and find of density peaks

(2014) A. Rodriguez et al.   SCIENCE

Boosting for multiclass semi-supervised learning

(2013) Jafar Tanha et al.   PATTERN RECOGNITION LETTERS

Using clustering analysis to improve semi-supervised classification

(2012) Haitao Gan et al.   NEUROCOMPUTING

Help-Training for semi-supervised support vector machines

(2011) Mathias M. Adankon et al.   PATTERN RECOGNITION

Self-training from labeled features for sentiment analysis

(2010) Yulan He et al.   INFORMATION PROCESSING & MANAGEMENT

Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]

(2009) O. Chapelle et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A self-training semi-supervised SVM algorithm and its application in an EEG-based brain computer interface speller system

(2008) Yuanqing Li et al.   PATTERN RECOGNITION LETTERS

The Circle of Apollonius and Its Applications in Introductory Physics

(2008) Michael B. Partensky   PHYSICS TEACHER