Blog
About

39
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      A Practical Bayesian Framework for Backpropagation Networks

      Neural Computation

      MIT Press - Journals

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references 4

          • Record: found
          • Abstract: not found
          • Article: not found

          Learning representations by back-propagating errors

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Recurrent Backpropagation and the Dynamical Approach to Adaptive Neural Computation

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning

                Bookmark

                Author and article information

                Journal
                Neural Computation
                Neural Computation
                MIT Press - Journals
                0899-7667
                1530-888X
                May 1992
                May 1992
                : 4
                : 3
                : 448-472
                Article
                10.1162/neco.1992.4.3.448
                © 1992

                Comments

                Comment on this article