COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Improving Generalization with Active Learning
Machine Learning - Special issue on structured connectionist systems
Machine Learning
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Learning dictionaries for information extraction by multi-level bootstrapping
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
Analyzing the effectiveness and applicability of co-training
Proceedings of the ninth international conference on Information and knowledge management
Machine Learning
Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Enhancing Supervised Learning with Unlabeled Data
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Learning from Labeled and Unlabeled Data using Graph Mincuts
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Exploiting unlabeled data in ensemble methods
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying and Handling Mislabelled Instances
Journal of Intelligent Information Systems
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Bootstrapping statistical parsers from small datasets
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Applying co-training methods to statistical parsing
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Enhancing relevance feedback in image retrieval using unlabeled data
ACM Transactions on Information Systems (TOIS)
Semisupervised Regression with Cotraining-Style Algorithms
IEEE Transactions on Knowledge and Data Engineering
Semi-supervised learning integrated with classifier combination for word sense disambiguation
Computer Speech and Language
An experimental comparative study of web mining methods for recommender systems
DIWED'06 Proceedings of the 6th WSEAS International Conference on Distance Learning and Web Engineering
Missing Value Imputation Using a Semi-supervised Rank Aggregation Approach
SBIA '08 Proceedings of the 19th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Improving Transductive Support Vector Machine by Ensembling
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Leveraging Web 2.0 Sources for Web Content Classification
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Semi-supervised document retrieval
Information Processing and Management: an International Journal
When does Co-training Work in Real Data?
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Semi-supervised Learning with Multimodal Perturbation
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Semi-supervised learning with very few labeled training examples
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Semi-supervised Learning for Regression with Co-training by Committee
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
New Labeling Strategy for Semi-supervised Document Categorization
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Semi-supervised Classification Based on Clustering Ensembles
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Multi-view learning for high dimensional data classification
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Learning with unlabeled data and its application to image retrieval
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Semi-supervised learning applied to large data sets with very few labeled examples
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Co-training with relevant random subspaces
Neurocomputing
A classification algorithm based on local cluster centers with a few labeled training examples
Knowledge-Based Systems
Question classification based on co-training style semi-supervised learning
Pattern Recognition Letters
Simple semi-supervised training of part-of-speech taggers
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Combining Local and Global KNN With Cotraining
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Improving word alignment by semi-supervised ensemble
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Semi-supervised Bayesian ARTMAP
Applied Intelligence
Semi-supervised dependency parsing using generalized tri-training
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Semi-supervised learning for false alarm reduction
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Robust semi-supervised and ensemble-based methods in word sense disambiguation
IceTAL'10 Proceedings of the 7th international conference on Advances in natural language processing
The effect of semi-supervised learning on parsing long distance dependencies in German and Swedish
IceTAL'10 Proceedings of the 7th international conference on Advances in natural language processing
Artificial Intelligence in Medicine
On-line multi-view forests for tracking
Proceedings of the 32nd DAGM conference on Pattern recognition
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
Combining committee-based semi-supervised learning and active learning
Journal of Computer Science and Technology
A refinement approach to handling model misfit in semi-supervised learning
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Harmonic functions based semi-supervised learning for web spam detection
Proceedings of the 2011 ACM Symposium on Applied Computing
Software defect detection with rocus
Journal of Computer Science and Technology
A new co-training-style random forest for computer aided diagnosis
Journal of Intelligent Information Systems
Discriminative deep belief networks for visual data classification
Pattern Recognition
Semisupervised condensed nearest neighbor for part-of-speech tagging
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
View construction for multi-view semi-supervised learning
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Exploiting unlabeled data for question classification
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
ShareBoost: boosting for multi-view learning with performance guarantees
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Collaborative filtering with collective training
Proceedings of the fifth ACM conference on Recommender systems
Multiple-View Multiple-Learner Semi-Supervised Learning
Neural Processing Letters
Time-aware co-training for indoors localization in visual lifelogs
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Using semi-supervised learning for question classification
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Chinese chunking with tri-training learning
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Tri-training and data editing based semi-supervised clustering algorithm
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Mining Recurring Concept Drifts with Limited Labeled Streaming 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
Combining active learning and semi-supervised for improving learning performance
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Sample-based software defect prediction with active and semi-supervised learning
Automated Software Engineering
Gene Co-Adaboost: a semi-supervised approach for classifying gene expression data
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
A multi-view regularization method for semi-supervised learning
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
DCPE co-training for classification
Neurocomputing
A bootstrapping method for learning from heterogeneous data
FGIT'11 Proceedings of the Third international conference on Future Generation Information Technology
Unlabeled data and multiple views
PSL'11 Proceedings of the First IAPR TC3 conference on Partially Supervised Learning
Potential topics discovery from topic frequency transition with semi-supervised learning
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
Semi-supervised ensemble learning of data streams in the presence of concept drift
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Tri-training based on neural network ensemble algorithm
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Semi-supervised clustering ensemble based on collaborative training
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
A new relational Tri-training system with adaptive data editing for inductive logic programming
Knowledge-Based Systems
CoNet: feature generation for multi-view semi-supervised learning with partially observed views
Proceedings of the 21st ACM international conference on Information and knowledge management
A hybrid generative/discriminative method for semi-supervised classification
Knowledge-Based Systems
Exploiting unlabeled data to enhance ensemble diversity
Data Mining and Knowledge Discovery
CSS'12 Proceedings of the 4th international conference on Cyberspace Safety and Security
Inter-training: Exploiting unlabeled data in multi-classifier systems
Knowledge-Based Systems
Disagreement-Based multi-system tracking
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Web page and image semi-supervised classification with heterogeneous information fusion
Journal of Information Science
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
Semi-supervised learning combining co-training with active learning
Expert Systems with Applications: An International Journal
Pattern classification and clustering: A review of partially supervised learning approaches
Pattern Recognition Letters
Improving multi-view semi-supervised learning with agreement-based sampling
Intelligent Data Analysis - Combined Learning Methods and Mining Complex Data
Information Sciences: an International Journal
| Hi-index | 0.00 |
In many practical data mining applications, such as Web page classification, unlabeled training examples are readily available, but labeled ones are fairly expensive to obtain. Therefore, semi-supervised learning algorithms such as co-training have attracted much attention. In this paper, a new co-training style semi-supervised learning algorithm, named tri-training, is proposed. This algorithm generates three classifiers from the original labeled example set. These classifiers are then refined using unlabeled examples in the tri-training process. In detail, in each round of tri-training, an unlabeled example is labeled for a classifier if the other two classifiers agree on the labeling, under certain conditions. Since tri-training neither requires the instance space to be described with sufficient and redundant views nor does it put any constraints on the supervised learning algorithm, its applicability is broader than that of previous co-training style algorithms. Experiments on UCI data sets and application to the Web page classification task indicate that tri-training can effectively exploit unlabeled data to enhance the learning performance.