Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
暂无分享,去创建一个
[1] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[2] Joseph Y. Halpern. An Analysis of First-Order Logics of Probability , 1989, IJCAI.
[3] David Poole,et al. Probabilistic Horn Abduction and Bayesian Networks , 1993, Artif. Intell..
[4] Nevin L. Zhang,et al. A simple approach to Bayesian network computations , 1994 .
[5] Peter Haddawy,et al. Probabilistic Logic Programming and Bayesian Networks , 1995, ASIAN.
[6] Lise Getoor,et al. Learning Probabilistic Relational Models , 1999, IJCAI.
[7] Luc De Raedt,et al. Bayesian Logic Programs , 2001, ILP Work-in-progress reports.
[8] David Poole,et al. First-order probabilistic inference , 2003, IJCAI.
[9] Dan Roth,et al. Lifted First-Order Probabilistic Inference , 2005, IJCAI.
[10] Dan Roth,et al. MPE and Partial Inversion in Lifted Probabilistic Variable Elimination , 2006, AAAI.
[11] Matthew Richardson,et al. Markov logic networks , 2006, Machine Learning.
[12] James Cussens,et al. CLP(BN): Constraint Logic Programming for Probabilistic Knowledge , 2002, Probabilistic Inductive Logic Programming.