Handwritten digit recognition with a back-propagation network
Advances in neural information processing systems 2
The nature of statistical learning theory
The nature of statistical learning theory
Semi-supervised support vector machines
Proceedings of the 1998 conference on Advances in neural information processing systems II
Ridge Regression Learning Algorithm in Dual Variables
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Comparing the Bayes and Typicalness Frameworks
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Inductive Confidence Machines for Regression
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Reliable Classifications with Machine Learning
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Computationally Efficient Transductive Machines
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Asymptotic Optimality of Transductive Confidence Machine
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Making Reliable Diagnoses with Machine Learning: A Case Study
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Pattern Recognition and Density Estimation under the General i.i.d. Assumption
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
2005 Special issue: A new classifier based on information theoretic learning with unlabeled data
Neural Networks - 2005 Special issue: IJCNN 2005
Empirical Analysis of Reliability Estimates for Individual Regression Predictions
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Meta-conformity approach to reliable classification
Intelligent Data Analysis
Normalized nonconformity measures for regression Conformal Prediction
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
Subsets more representative than random ones
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Transductive reliability estimation for kernel based classifiers
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
The Knowledge Engineering Review
Single-stacking conformity approach to reliable classification
AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Regression conformal prediction with nearest neighbours
Journal of Artificial Intelligence Research
Transductive reliability estimation for medical diagnosis
Artificial Intelligence in Medicine
Reliable probabilistic classification with neural networks
Neurocomputing
Decision confidence-based multi-level support vector machines
Engineering Applications of Artificial Intelligence
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In this paper we follow the same general ideology as in [Gammerman et al., 1998], and describe a new transductive learning algorithm using Support Vector Machines. The algorithm presented provides confidence values for its predicted classifications of new examples. We also obtain a measure of "credibility" which serves as an indicator of the reliability of the data upon which we make our prediction. Experiments compare the new algorithm to a standard Support Vector Machine and other transductive methods which use Support Vector Machines, such as Vapnik's margin transduction. Empirical results show that the new algorithm not only produces confidence and credibility measures, but is comparable to, and sometimes exceeds the performance of the other algorithms.