A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The nature of statistical learning theory
The nature of statistical learning theory
Making large-scale support vector machine learning practical
Advances in kernel methods
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Semi-supervised support vector machines
Proceedings of the 1998 conference on Advances in neural information processing systems II
Improved Generalization Through Explicit Optimization of Margins
Machine Learning
Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop
Kernel Principal Component Analysis
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Asymptotic behaviors of support vector machines with Gaussian kernel
Neural Computation
RCV1: A New Benchmark Collection for Text Categorization Research
The Journal of Machine Learning Research
Leveraging the margin more carefully
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs
The Journal of Machine Learning Research
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
Beyond the point cloud: from transductive to semi-supervised learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Trading convexity for scalability
ICML '06 Proceedings of the 23rd international conference on Machine learning
Fast Kernel Classifiers with Online and Active Learning
The Journal of Machine Learning Research
Explicit learning curves for transduction and application to clustering and compression algorithms
Journal of Artificial Intelligence Research
A continuation method for semi-supervised SVMs
ICML '06 Proceedings of the 23rd international conference on Machine learning
Multiple instance learning for sparse positive bags
Proceedings of the 24th international conference on Machine learning
Semi-supervised classification with hybrid generative/discriminative methods
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Large scale manifold transduction
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
Large margin vs. large volume in transductive learning
Machine Learning
Cuts3vm: a fast semi-supervised svm algorithm
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
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
Large-Scale Clustering through Functional Embedding
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Semi-supervised text categorization by active search
Proceedings of the 17th ACM conference on Information and knowledge management
Adapting svm for data sparseness and imbalance: A case study in information extraction
Natural Language Engineering
Least Square Transduction Support Vector Machine
Neural Processing Letters
Prototype vector machine for large scale semi-supervised learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Semi-supervised learning for semantic parsing using support vector machines
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Kernel regression with order preferences
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
A volume-based heat-diffusion classifier
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Maximum margin clustering made practical
IEEE Transactions on Neural Networks
Help-training semi-supervised LS-SVM
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
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
Efficient graph-based semi-supervised learning of structured tagging models
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
A robust semi-supervised classification method for transfer learning
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Semi-supervised Bayesian ARTMAP
Applied Intelligence
Efficient large-scale image annotation by probabilistic collaborative multi-label propagation
Proceedings of the international conference on Multimedia
Ant based semi-supervised classification
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
Batch and online learning algorithms for nonconvex neyman-pearson classification
ACM Transactions on Intelligent Systems and Technology (TIST)
Help-Training for semi-supervised support vector machines
Pattern Recognition
Active learning with adaptive regularization
Pattern Recognition
Discriminative deep belief networks for visual data classification
Pattern Recognition
A fast quasi-Newton method for semi-supervised SVM
Pattern Recognition
Can irrelevant data help semi-supervised learning, why and how?
Proceedings of the 20th ACM international conference on Information and knowledge management
Bilinear deep learning for image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Semi-Supervised Learning with Measure Propagation
The Journal of Machine Learning Research
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Pushing the boundaries of crowd-enabled databases with query-driven schema expansion
Proceedings of the VLDB Endowment
Review: Supervised classification and mathematical optimization
Computers and Operations Research
Dependency Parsing domain adaptation using transductive SVM
ROBUS-UNSUP '12 Proceedings of the Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP
A hybrid generative/discriminative method for semi-supervised classification
Knowledge-Based Systems
Aggregation pheromone metaphor for semi-supervised classification
Pattern Recognition
Robust image annotation via simultaneous feature and sample outlier pursuit
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Towards efficient sparse coding for scalable image annotation
Proceedings of the 21st ACM international conference on Multimedia
Convolutional Deep Networks for Visual Data Classification
Neural Processing Letters
A second order cone programming approach for semi-supervised learning
Pattern Recognition
Computer Vision and Image Understanding
Robust feature selection for SVMs under uncertain data
ICDM'13 Proceedings of the 13th international conference on Advances in Data Mining: applications and theoretical aspects
DCA based algorithms for feature selection in semi-supervised support vector machines
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Proceedings of the Fourth Symposium on Information and Communication Technology
Large-scale multilabel propagation based on efficient sparse graph construction
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Local learning integrating global structure for large scale semi-supervised classification
Computers & Mathematics with Applications
A class of semi-supervised support vector machines by DC programming
Advances in Data Analysis and Classification
Convex and scalable weakly labeled SVMs
The Journal of Machine Learning Research
Sparse semi-supervised learning on low-rank kernel
Neurocomputing
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We show how the concave-convex procedure can be applied to transductive SVMs, which traditionally require solving a combinatorial search problem. This provides for the first time a highly scalable algorithm in the nonlinear case. Detailed experiments verify the utility of our approach. Software is available at http://www.kyb.tuebingen.mpg.de/bs/people/fabee/transduction.html.