Relevance Vector Machine

Jump to: navigation, search

A Relevance Vector Machine is ....



  • (Bishop, 2004) ⇒ Christopher M. Bishop. (2004). “Recent Advances in Bayesian Inference Techniques." Keynote Presentation at SIAM Conference on Data Mining.
    • Relevance Vector Machine (Tipping, 1999)
      • Bayesian alternative to support vector machine (SVM)
      • Properties
        • comparable error rates to SVM on new data
        • no cross-validation to set comlexity parameters
        • applicable to wide choice of basis function
        • multi-class classification
        • probabilistic outputs
        • dramatically fewer kernels (by an order of magnitude)
        • but, slower to train than SVM