Annals of Mathematics and Artificial Intelligence, Volume 54

Volume 54, Numbers 1-3, November 2008

• Manfred Jaeger, Lise Getoor, Kristian Kersting:
  Preface. 1-2
  
• Robert Mateescu, Rina Dechter:
  Mixed deterministic and probabilistic networks. 3-51
  
• Nicos Angelopoulos, James Cussens:
  Bayesian learning of Bayesian networks with informative priors. 53-98
  
• Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel:
  Learning directed probabilistic logical models: ordering-search versus structure-search. 99-133
  
• Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara:
  Variational Bayes via propositionalized probability computation in PRISM. 135-158
  
• Kee Siong Ng, John W. Lloyd, William T. B. Uther:
  Probabilistic modelling, inference and learning using logical theories. 159-205
  
• Fabrizio Costa, Andrea Passerini, Marco Lippi, Paolo Frasconi:
  A semiparametric generative model for efficient structured-output supervised learning. 207-222
  
• Sriraam Natarajan, Prasad Tadepalli, Thomas G. Dietterich, Alan Fern:
  Learning first-order probabilistic models with combining rules. 223-256
  

Volume 54, Number 4, December 2008

• Ephraim Nissan, Giuseppina C. Gini, Marco Colombetti:
  Guest editorial: Marco Somalvico memorial issue. 257-264
  
• Aldo Franco Dragoni:
  Mental states as multi-context systems. 265-292
  
• Ephraim Nissan:
  Epistemic formulae, argument structures, and a narrative on identity and deception: a formal representation from the AJIT subproject within AURANGZEB. 293-362
  
• Yimin Huang, Marco Valtorta:
  On the completeness of an identifiability algorithm for semi-Markovian models. 363-408
  

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