Resumen
© 2005 Society for Imprecise Probability: Theories and Applications, SIPTA. All rights reserved. Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution for large networks. This paper introduces a variational approach to approximate inference in credal networks: we show how to formulate mean field approximations using naive (fully factorized) and structured (tree-like) schemes. We discuss the computational advantages of the variational approach, and present examples that illustrate the mechanics of the proposal.
Idioma original | Inglés estadounidense |
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Estado | Publicada - 1 ene 2005 |
Publicado de forma externa | Sí |
Evento | 4th International Symposium on Imprecise Probabilities and Their Applications, ISIPTA 2005 - Duración: 1 ene 2005 → … |
Conferencia
Conferencia | 4th International Symposium on Imprecise Probabilities and Their Applications, ISIPTA 2005 |
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Período | 1/01/05 → … |