Regularizing ad hoc retrieval scores
Proceedings of the 14th ACM international conference on Information and knowledge management
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
On Classification with Incomplete Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Typicality ranking via semi-supervised multiple-instance learning
Proceedings of the 15th international conference on Multimedia
Video annotation by graph-based learning with neighborhood similarity
Proceedings of the 15th international conference on Multimedia
Structure-sensitive manifold ranking for video concept detection
Proceedings of the 15th international conference on Multimedia
Optimizing multi-graph learning: towards a unified video annotation scheme
Proceedings of the 15th international conference on Multimedia
A semisupervised support vector machines algorithm for BCI systems
Computational Intelligence and Neuroscience - EEG/MEG Signal Processing
Video suggestion and discovery for youtube: taking random walks through the view graph
Proceedings of the 17th international conference on World Wide Web
A Generic Diffusion Kernel for Semi-supervised Learning
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Semi-supervised Learning with Ensemble Learning and Graph Sharpening
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Cross domain distribution adaptation via kernel mapping
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
SNARE: a link analytic system for graph labeling and risk detection
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Cross Species Expression Analysis of Innate Immune Response
RECOMB 2'09 Proceedings of the 13th Annual International Conference on Research in Computational Molecular Biology
Soft-supervised learning for text classification
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Universal Learning over Related Distributions and Adaptive Graph Transduction
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Graph-based learning for statistical machine translation
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
One class per named entity: exploiting unlabeled text for named entity recognition
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Graph-based semi-supervised learning as a generative model
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Inferring semantic concepts from community-contributed images and noisy tags
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Unified video annotation via multigraph learning
IEEE Transactions on Circuits and Systems for Video Technology
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Proceedings of the 18th ACM conference on Information and knowledge management
Beyond distance measurement: constructing neighborhood similarity for video annotation
IEEE Transactions on Multimedia - Special section on communities and media computing
Correlative linear neighborhood propagation for video annotation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A volume-based heat-diffusion classifier
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Preference learning with extreme examples
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
An improved sample selection algorithm in fuzzy decision tree induction
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
CRF-based active learning for Chinese named entity recognition
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A multilevel approach for learning from labeled and unlabeled data on graphs
Pattern Recognition
Scaling up semi-supervised learning: an efficient and effective LLGC variant
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Combining supervised and semi-supervised classifier for personalized spam filtering
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Combining smooth graphs with semi-supervised learning
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Semi-supervised classification and noise detection
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Joint learning of labels and distance metric
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
CAFE: Collaboration Aimed at Finding Experts
International Journal of Knowledge and Web Intelligence
PageRank without hyperlinks: Structural reranking using links induced by language models
ACM Transactions on Information Systems (TOIS)
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Semi-supervised learning of concatenative morphology
SIGMORPHON '10 Proceedings of the 11th Meeting of the ACL Special Interest Group on Computational Morphology and Phonology
Combining link and content for collective active learning
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images
ACM Transactions on Intelligent Systems and Technology (TIST)
Agreement-based semi-supervised learning for skull stripping
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Semi-supervised multi-class Adaboost by exploiting unlabeled data
Expert Systems with Applications: An International Journal
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Semi-supervised dimensionality reduction via harmonic functions
MDAI'11 Proceedings of the 8th international conference on Modeling decisions for artificial intelligence
Exploiting clustering approaches for image re-ranking
Journal of Visual Languages and Computing
Semi-Supervised Learning with Measure Propagation
The Journal of Machine Learning Research
Batch Mode Active Learning for Networked Data
ACM Transactions on Intelligent Systems and Technology (TIST)
Semi-supervised classification with active query selection
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Semi-supervised classification based on smooth graphs
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Using weighted nearest neighbor to benefit from unlabeled data
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Combining smooth graphs with semi-supervised classification
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Semi-supervised probability propagation on instance-attribute graphs
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Discriminative features for image classification and retrieval
Pattern Recognition Letters
Semi-supervised ensemble classification in subspaces
Applied Soft Computing
Constrained clustering via swarm intelligence
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Analyzing and predicting question quality in community question answering services
Proceedings of the 21st international conference companion on World Wide Web
Revisiting centrality-as-relevance: support sets and similarity as geometric proximity
Journal of Artificial Intelligence Research
Exploiting pairwise recommendation and clustering strategies for image re-ranking
Information Sciences: an International Journal
A new relational Tri-training system with adaptive data editing for inductive logic programming
Knowledge-Based Systems
Learning translation consensus with structured label propagation
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Interactive tool for image annotation using a semi-supervised and hierarchical approach
Computer Standards & Interfaces
Automatic seed set expansion for trust propagation based anti-spam algorithms
Information Sciences: an International Journal
Cartoon features selection using Diffusion Score
Signal Processing
Densifying Distance Spaces for Shape and Image Retrieval
Journal of Mathematical Imaging and Vision
Image re-ranking and rank aggregation based on similarity of ranked lists
Pattern Recognition
Prediction of movement direction in crude oil prices based on semi-supervised learning
Decision Support Systems
A heterogenous automatic feedback semi-supervised method for image reranking
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Robust predictive model for evaluating breast cancer survivability
Engineering Applications of Artificial Intelligence
Single network relational transductive learning
Journal of Artificial Intelligence Research
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In traditional machine learning approaches to classification, one uses only a labeled set to train the classifier. Labeled instances however are often difficult, expensive, or time consuming to obtain, as they require the efforts of experienced human annotators. Meanwhile unlabeled data may be relatively easy to collect, but there has been few ways to use them. Semi-supervised learning addresses this problem by using large amount of unlabeled data, together with the labeled data, to build better classifiers. Because semi-supervised learning requires less human effort and gives higher accuracy, it is of great interest both in theory and in practice. We present a series of novel semi-supervised learning approaches arising from a graph representation, where labeled and unlabeled instances are represented as vertices, and edges encode the similarity between instances. They address the following questions: How to use unlabeled data? (label propagation); What is the probabilistic interpretation? (Gaussian fields and harmonic functions); What if we can choose labeled data? (active learning); How to construct good graphs? (hyperparameter learning); How to work with kernel machines like SVM? (graph kernels); How to handle complex data like sequences? (kernel conditional random fields); How to handle scalability and induction? (harmonic mixtures). An extensive literature review is included at the end.