Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Using unlabeled data to improve text classification
Using unlabeled data to improve text classification
Problems of learning on manifolds
Problems of learning on manifolds
ICML '06 Proceedings of the 23rd international conference on Machine learning
A continuation method for semi-supervised SVMs
ICML '06 Proceedings of the 23rd international conference on Machine learning
The Journal of Machine Learning Research
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
The Journal of Machine Learning Research
Value Regularization and Fenchel Duality
The Journal of Machine Learning Research
Kernel selection forl semi-supervised kernel machines
Proceedings of the 24th international conference on Machine learning
A transductive framework of distance metric learning by spectral dimensionality reduction
Proceedings of the 24th international conference on Machine learning
Transductive support vector machines for structured variables
Proceedings of the 24th international conference on Machine learning
Semisupervised Regression with Cotraining-Style Algorithms
IEEE Transactions on Knowledge and Data Engineering
Large scale manifold transduction
Proceedings of the 25th international conference on Machine learning
An RKHS for multi-view learning and manifold co-regularization
Proceedings of the 25th international conference on Machine learning
Graph transduction via alternating minimization
Proceedings of the 25th international conference on Machine learning
Deep learning via semi-supervised embedding
Proceedings of the 25th international conference on Machine learning
Optimization Techniques for Semi-Supervised Support Vector Machines
The Journal of Machine Learning Research
Online Manifold Regularization: A New Learning Setting and Empirical Study
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
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
Near-duplicate keyframe retrieval by nonrigid image matching
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Semisupervised SVM batch mode active learning with applications to image retrieval
ACM Transactions on Information Systems (TOIS)
Kernel-Based Transductive Learning with Nearest Neighbors
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Fitting a graph to vector data
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Domain adaptation from multiple sources via auxiliary classifiers
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Geometry-aware metric learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
SimpleNPKL: simple non-parametric kernel learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Soft-supervised learning for text classification
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Semi-Supervised Multi-Task Regression
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
On discriminative semi-supervised classification
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Keepin' it real: semi-supervised learning with realistic tuning
SemiSupLearn '09 Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing
Semi-supervised Gaussian process classifiers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
An active learning approach for segmenting human activity datasets
MM '09 Proceedings of the 17th ACM international conference on Multimedia
TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing
A volume-based heat-diffusion classifier
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Semi-supervised bilinear subspace learning
IEEE Transactions on Image Processing
Spectral kernel learning for semi-supervised classification
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Some new directions in graph-based semi-supervised learning
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Non-parametric kernel ranking approach for social image retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
Laplacian regularized D-optimal design for active learning and its application to image retrieval
IEEE Transactions on Image Processing
Expert Systems with Applications: An International Journal
Discriminative semi-supervised feature selection via manifold regularization
IEEE Transactions on Neural Networks
Flexible manifold embedding: a framework for semi-supervised and unsupervised dimension reduction
IEEE Transactions on Image Processing
Spatial extensions to kernel methods
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Efficient graph-based semi-supervised learning of structured tagging models
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
S3MKL: scalable semi-supervised multiple kernel learning for image data mining
Proceedings of the international conference on Multimedia
Discriminative deep belief networks for visual data classification
Pattern Recognition
Balance support vector machines locally using the structural similarity kernel
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Laplacian Support Vector Machines Trained in the Primal
The Journal of Machine Learning Research
A Family of Simple Non-Parametric Kernel Learning Algorithms
The Journal of Machine Learning Research
A nonparametric classification method based on K-associated graphs
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Semi-Supervised Learning with Measure Propagation
The Journal of Machine Learning Research
Graph based semi-supervised learning with sharper edges
ECML'06 Proceedings of the 17th European conference on Machine Learning
Leave-one-out manifold regularization
Expert Systems with Applications: An International Journal
Feature subsumption for sentiment classification in multiple languages
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Leave-One-Out cross-validation based model selection for manifold regularization
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Manifold-Regularized minimax probability machine
PSL'11 Proceedings of the First IAPR TC3 conference on Partially Supervised Learning
Metric and kernel learning using a linear transformation
The Journal of Machine Learning Research
Classification based group photo retrieval with bag of people features
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Interactive genetic algorithms with large population and semi-supervised learning
Applied Soft Computing
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Adaptive two-view online learning for math topic classification
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Online multi-modal distance learning for scalable multimedia retrieval
Proceedings of the sixth ACM international conference on Web search and data mining
Semi-Supervised learning on a budget: scaling up to large datasets
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Semi-supervised learning using greedy max-cut
The Journal of Machine Learning Research
Neighborhood Correlation Analysis for Semi-paired Two-View Data
Neural Processing Letters
Toward supervised anomaly detection
Journal of Artificial Intelligence Research
Semi-Supervised learning using random walk limiting probabilities
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Journal of Biomedical Informatics
Laplacian minimax probability machine
Pattern Recognition Letters
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Due to its occurrence in engineering domains and implications for natural learning, the problem of utilizing unlabeled data is attracting increasing attention in machine learning. A large body of recent literature has focussed on the transductive setting where labels of unlabeled examples are estimated by learning a function defined only over the point cloud data. In a truly semi-supervised setting however, a learning machine has access to labeled and unlabeled examples and must make predictions on data points never encountered before. In this paper, we show how to turn transductive and standard supervised learning algorithms into semi-supervised learners. We construct a family of data-dependent norms on Reproducing Kernel Hilbert Spaces (RKHS). These norms allow us to warp the structure of the RKHS to reflect the underlying geometry of the data. We derive explicit formulas for the corresponding new kernels. Our approach demonstrates state of the art performance on a variety of classification tasks.