Learning from Labeled and Unlabeled Data using Graph Mincuts

Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning

ECML '02 Proceedings of the 13th European Conference on Machine Learning

Improving Classification Accuracy of Large Test Sets Using the Ordered Classification Algorithm

IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence

Machine learning in low-level microarray analysis

ACM SIGKDD Explorations Newsletter

Semi-Supervised Learning on Riemannian Manifolds

Machine Learning

Semi-supervised learning using randomized mincuts

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Semisupervised learning from different information sources

Knowledge and Information Systems

Relevant Data Expansion for Learning Concept Drift from Sparsely Labeled Data

IEEE Transactions on Knowledge and Data Engineering

Weakly supervised natural language learning without redundant views

NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1

Analyzing Gene Expression Time-Courses

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

Tri-Training: Exploiting Unlabeled Data Using Three Classifiers

IEEE Transactions on Knowledge and Data Engineering

Estimating and computing density based distance metrics

ICML '05 Proceedings of the 22nd international conference on Machine learning

Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning

ICML '05 Proceedings of the 22nd international conference on Machine learning

Hot Item Mining and Summarization from Multiple Auction Web Sites

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

Effective transductive learning via objective model selection

Pattern Recognition Letters

An analysis of graph cut size for transductive learning

ICML '06 Proceedings of the 23rd international conference on Machine learning

MISSL: multiple-instance semi-supervised learning

ICML '06 Proceedings of the 23rd international conference on Machine learning

Enhancing relevance feedback in image retrieval using unlabeled data

ACM Transactions on Information Systems (TOIS)

Semi-supervised model-based document clustering: A comparative study

Machine Learning

SmartLabel: an object labeling tool using iterated harmonic energy minimization

MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia

Automatic video annotation by semi-supervised learning with kernel density estimation

MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia

A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts

ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics

Relation extraction using label propagation based semi-supervised learning

ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics

Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems

The Journal of Machine Learning Research

Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

The Journal of Machine Learning Research

Classification in Networked Data: A Toolkit and a Univariate Case Study

The Journal of Machine Learning Research

Structure-sensitive manifold ranking for video concept detection

Proceedings of the 15th international conference on Multimedia

Semisupervised Regression with Cotraining-Style Algorithms

IEEE Transactions on Knowledge and Data Engineering

Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions

Artificial Intelligence in Medicine

A semisupervised support vector machines algorithm for BCI systems

Computational Intelligence and Neuroscience - EEG/MEG Signal Processing

Label Propagation through Linear Neighborhoods

IEEE Transactions on Knowledge and Data Engineering

Semi-supervised learning integrated with classifier combination for word sense disambiguation

Computer Speech and Language

Repairing self-confident active-transductive learners using systematic exploration

Pattern Recognition Letters

Graph transduction via alternating minimization

Proceedings of the 25th international conference on Machine learning

Large margin vs. large volume in transductive learning

Machine Learning

Semi-supervised learning with data calibration for long-term time series forecasting

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Training the Hidden Vector State Model from Un-annotated Corpus

ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II

Transductive Learning from Relational Data

MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition

PE-PUC: A Graph Based PU-Learning Approach for Text Classification

MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition

A Fault Prediction Model with Limited Fault Data to Improve Test Process

PROFES '08 Proceedings of the 9th international conference on Product-Focused Software Process Improvement

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

Semi-Supervised Boosting for Multi-Class Classification

ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II

Exploiting Cluster-Structure to Predict the Labeling of a Graph

ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory

Fast semi-supervised SVM classifiers using a priori metric information

Optimization Methods & Software - Mathematical programming in data mining and machine learning

Classifying networked entities with modularity kernels

Proceedings of the 17th ACM conference on Information and knowledge management

Agnostic active learning

Journal of Computer and System Sciences

Protein functional class prediction with a combined graph

Expert Systems with Applications: An International Journal

Graph-Based Active Learning Based on Label Propagation

MDAI '08 Sabadell Proceedings of the 5th International Conference on Modeling Decisions for Artificial Intelligence

Constrained Local Regularized Transducer for Multi-Component Category Classification

PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence

Semi-supervised document retrieval

Information Processing and Management: an International Journal

Kernel-Based Transductive Learning with Nearest Neighbors

APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management

Robust Graph Hyperparameter Learning for Graph Based Semi-supervised Classification

PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining

A survey on sentiment detection of reviews

Expert Systems with Applications: An International Journal

Label propagation via bootstrapped support vectors for semantic relation extraction between named entities

Computer Speech and Language

Graph construction and b-matching for semi-supervised learning

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Using graph-based metrics with empirical risk minimization to speed up active learning on networked data

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Semi-supervised Learning Based on Label Propagation through Submanifold

ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks

Efficient Learning from Few Labeled Examples

ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks

Semi-supervised orthogonal discriminant analysis via label propagation

Pattern Recognition

Semi-supervised Segmentation Based on Non-local Continuous Min-Cut

SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision

Template Update Methods in Adaptive Biometric Systems: A Critical Review

ICB '09 Proceedings of the Third International Conference on Advances in Biometrics

Semi-supervised fuzzy clustering: A kernel-based approach

Knowledge-Based Systems

Semi-supervised polarity lexicon induction

EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics

Get out the vote: determining support or opposition from congressional floor-debate transcripts

EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing

Soft-supervised learning for text classification

EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing

Video semantic analysis based on structure-sensitive anisotropic manifold ranking

Signal Processing

Word sense disambiguation with semi-supervised learning

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3

Improving learning in networked data by combining explicit and mined links

AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1

Semi-supervised learning with very few labeled training examples

AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1

On discriminative semi-supervised classification

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2

Subjectivity recognition on word senses via semi-supervised mincuts

NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics

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

Learning from labeled and unlabeled data: an empirical study across techniques and domains

Journal of Artificial Intelligence Research

Graph-based semi-supervised learning as a generative model

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Reflect and correct: A misclassification prediction approach to active inference

ACM Transactions on Knowledge Discovery from Data (TKDD)

Semi-supervised regression with co-training

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence

Graph based semi-supervised approach for information extraction

TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing

Seeing stars when there aren't many stars: graph-based semi-supervised learning for sentiment categorization

TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing

Semi-automatically labeling objects in images

IEEE Transactions on Image Processing

Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification

ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning

Some new directions in graph-based semi-supervised learning

ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo

A speed-up algorithm for Poisson propagation

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

A discriminative model for semi-supervised learning

Journal of the ACM (JACM)

Multi-view learning for high dimensional data classification

CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference

Robust image annotation refinement via graph-based learning

CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference

Soft constraint harmonic energy minimization for transductive learning and its two interpretations

Neural Processing Letters

Interactive image segmentation using probabilistic hypergraphs

Pattern Recognition

A multilevel approach for learning from labeled and unlabeled data on graphs

Pattern Recognition

Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data

The Journal of Machine Learning Research

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

Density-sensitive evolutionary clustering

PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining

Network Elucidation Template: A framework for human-guided network inference

Computers and Industrial Engineering

An energy minimisation approach to attributed graph regularisation

EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition

Classification by semi-supervised discriminative regularization

Neurocomputing

Learning unknown graphs

ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory

An incremental learning framework combining sample confidence and discrimination with an application to automatic image annotation

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing

Semi-supervised learning based on nearest neighbor rule and cut edges

Knowledge-Based Systems

Feature selection in the Laplacian support vector machine

Computational Statistics & Data Analysis

Discriminative semi-supervised feature selection via manifold regularization

IEEE Transactions on Neural Networks

Semi-supervised Bayesian ARTMAP

Applied Intelligence

Improving co-training with agreement-based sampling

RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing

Semi-supervised ranking for document retrieval

Computer Speech and Language

Ant based semi-supervised classification

ANTS'10 Proceedings of the 7th international conference on Swarm intelligence

Semi-supervised graph embedding scheme with active learning (SSGEAL): classifying high dimensional biomedical data

PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics

Exploit of online social networks with community-based graph semi-supervised learning

ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I

Semi-supervised classification and betweenness computation on large, sparse, directed graphs

Pattern Recognition

Semi-supervised multi-class Adaboost by exploiting unlabeled data

Expert Systems with Applications: An International Journal

LIFT: A new framework of learning from testing data for face recognition

Neurocomputing

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

Predicting the labels of an unknown graph via adaptive exploration

Theoretical Computer Science

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

Collective classification of congressional floor-debate transcripts

HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1

On theme location discovery for travelogue services

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

Waffles: A Machine Learning Toolkit

The Journal of Machine Learning Research

Interactive segmentation with super-labels

EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition

Semi-supervised learning guided by the modularity measure in complex networks

Neurocomputing

An RSVM based two-teachers-one-student semi-supervised learning algorithm

Neural Networks

Semi-Supervised Learning with Measure Propagation

The Journal of Machine Learning Research

Transductive learning for text classification using explicit knowledge models

PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases

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

Regularized semi-supervised classification on manifold

PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

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

A modified k-means clustering with a density-sensitive distance metric

RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology

Semidefinite clustering for image segmentation with a-priori knowledge

PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition

Combining label information and neighborhood graph for semi-supervised learning

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Learning Instance Weighted Naive Bayes from labeled and unlabeled data

Journal of Intelligent Information Systems

Face recognition using neighborhood preserving projections

PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II

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

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

Mining inter-entity semantic relations using improved transductive learning

IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing

Graffiti: graph-based classification in heterogeneous networks

World Wide Web

DCPE co-training for classification

Neurocomputing

On the utility of partially labeled data for classification of microarray data

PSL'11 Proceedings of the First IAPR TC3 conference on Partially Supervised Learning

Semi-supervised correction of biased comment ratings

Proceedings of the 21st international conference on World Wide Web

Double enhancement learning for explicit internal representations: unifying self-enhancement and information enhancement to incorporate information on input variables

Applied Intelligence

Sentiment detection with auxiliary data

Information Retrieval

Label propagation through sparse neighborhood and its applications

Neurocomputing

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

Training pool selection for semi-supervised learning

ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I

Bootstrapping via graph propagation

ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1

On the complexity of finding an unknown cut via vertex queries

COCOON'07 Proceedings of the 13th annual international conference on Computing and Combinatorics

A regularization framework in polar coordinates for transductive learning in networked data

Information Sciences: an International Journal

Semi-supervised multiple instance learning based domain adaptation for object detection

Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing

Link prediction in complex networks based on cluster information

SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence

Biometric system adaptation by self-update and graph-based techniques

Journal of Visual Languages and Computing

Intrusion detection using disagreement-based semi-supervised learning: detection enhancement and false alarm reduction

CSS'12 Proceedings of the 4th international conference on Cyberspace Safety and Security

Aggregation pheromone metaphor for semi-supervised classification

Pattern Recognition

Clustering documents with labeled and unlabeled documents using fuzzy semi-Kmeans

Fuzzy Sets and Systems

Stock price prediction based on a complex interrelation network of economic factors

Engineering Applications of Artificial Intelligence

Prediction of movement direction in crude oil prices based on semi-supervised learning

Decision Support Systems

Annotation propagation in image databases using similarity graphs

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)

Guilt by association?: network based propagation approaches for gold farmer detection

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Semi-supervised learning using greedy max-cut

The Journal of Machine Learning Research

Random spanning trees and the prediction ofweighted graphs

The Journal of Machine Learning Research

Clustering-based transduction for learning a ranking model with limited human labels

Proceedings of the 22nd ACM international conference on Conference on information & knowledge management

A second order cone programming approach for semi-supervised learning

Pattern Recognition

Semi-supervised multi-label image classification based on nearest neighbor editing

Neurocomputing

Bias-Guided random walk for network-based data classification

ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II

Pattern classification and clustering: A review of partially supervised learning approaches

Pattern Recognition Letters

Unlabeling data can improve classification accuracy

Pattern Recognition Letters

On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification

Neurocomputing

Improving multi-view semi-supervised learning with agreement-based sampling

Intelligent Data Analysis - Combined Learning Methods and Mining Complex Data