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Transductive Reliability Estimation for Kernel Based Classifiers.

, , and . IDA, volume 4723 of Lecture Notes in Computer Science, page 37-47. Springer, (2007)

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Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning., , and . ICANN (1), volume 5768 of Lecture Notes in Computer Science, page 50-59. Springer, (2009)Variational Bayesian Blind Image Deconvolution with Student-T Priors., , and . ICIP (1), page 109-112. IEEE, (2007)Large Scale Multikernel Relevance Vector Machine for Object Detection., , and . Int. J. Artif. Intell. Tools, 16 (6): 967-979 (2007)Transductive Reliability Estimation for Kernel Based Classifiers., , and . IDA, volume 4723 of Lecture Notes in Computer Science, page 37-47. Springer, (2007)Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function., , and . EUSIPCO, page 1-5. IEEE, (2006)Sparse Bayesian Modeling With Adaptive Kernel Learning., , and . IEEE Trans. Neural Networks, 20 (6): 926-937 (2009)Robust variational bayesian kernel based blind image deconvolution., , and . VISAPP (Special Sessions), page 143-150. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2007)An Incremental Bayesian Approach for Training Multilayer Perceptrons., and . ICANN (1), volume 6352 of Lecture Notes in Computer Science, page 87-96. Springer, (2010)Large Scale Multikernel RVM for Object Detection., , and . SETN, volume 3955 of Lecture Notes in Computer Science, page 389-399. Springer, (2006)Incremental Relevance Vector Machine with Kernel Learning., , and . SETN, volume 5138 of Lecture Notes in Computer Science, page 301-312. Springer, (2008)