On the exponential value of labeled samples

Learning from a mixture of labeled and unlabeled examples with parametric side information

COLT '95 Proceedings of the eighth annual conference on Computational learning theory

Combined learning and use for a mixture model equivalent to the RBF classifier

Neural Computation

Learning to classify text from labeled and unlabeled documents

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence

Text Classification from Labeled and Unlabeled Documents using EM

Machine Learning - Special issue on information retrieval

Algorithmic transformations in the implementation of K- means clustering on reconfigurable hardware

FPGA '01 Proceedings of the 2001 ACM/SIGDA ninth international symposium on Field programmable gate arrays

Using unlabeled data for learning classification problems

New learning paradigms in soft computing

Using Unlabelled Data to Train a Multilayer Perceptron

Neural Processing Letters

Adjusting the outputs of a classifier to new a priori probabilities: a simple procedure

Neural Computation

B-EM: a classifier incorporating bootstrap with EM approach for data mining

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

A Mixture Model and EM-Based Algorithm for Class Discovery, Robust Classification, and Outlier Rejection in Mixed Labeled/Unlabeled Data Sets

IEEE Transactions on Pattern Analysis and Machine Intelligence

Evolutionary semi-supervised fuzzy clustering

Pattern Recognition Letters

Machine learning in low-level microarray analysis

ACM SIGKDD Explorations Newsletter

Semi-Supervised Learning on Riemannian Manifolds

Machine Learning

Analyzing Gene Expression Time-Courses

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Incorporating large unlabeled data to enhance EM classification

Journal of Intelligent Information Systems

Improving classification performance using unlabeled data: Naive Bayesian case

Knowledge-Based Systems

Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields

IEEE Transactions on Pattern Analysis and Machine Intelligence

Active learning and logarithmic opinion pools for hpsg parse selection

Natural Language Engineering

Semi-supervised and active learning with the probabilistic RBF classifier

Neurocomputing

Learning and Forgetting with Local Information of New Objects

CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications

A discriminative model for semi-supervised learning

Journal of the ACM (JACM)

Semisupervised multicategory classification with imperfect model

IEEE Transactions on Neural Networks

A semi-supervised approach for reject inference in credit scoring using SVMs

ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects

Constrained parameter estimation for semi-supervised learning: the case of the nearest mean classifier

ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II

Learning aspect models with partially labeled data

Pattern Recognition Letters

Unsupervised Supervised Learning II: Margin-Based Classification Without Labels

The Journal of Machine Learning Research

A semi-naive bayesian learning method for utilizing unlabeled data

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I

Active learning with the probabilistic RBF classifier

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I

Semi-supervised multiple classifier systems: background and research directions

MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems

A PAC-Style model for learning from labeled and unlabeled data

COLT'05 Proceedings of the 18th annual conference on Learning Theory

Generalization error bounds using unlabeled data

COLT'05 Proceedings of the 18th annual conference on Learning Theory

HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining

A semi-supervised approach for dimensionality reduction with distributional similarity

Neurocomputing

Approaches to adversarial drift

Proceedings of the 2013 ACM workshop on Artificial intelligence and security

Shilling attack detection utilizing semi-supervised learning method for collaborative recommender system

World Wide Web

Unlabeling data can improve classification accuracy

Pattern Recognition Letters