论文信息 - Logical-Statistical models and parameter learning in the PRISM system

Logical-Statistical models and parameter learning in the PRISM system

3 More on using PRISM illustrated by a Bayesian Network 4 3.1 Defining a Bayesian network in PRISM . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.2 Estimating probabilities for hidden random variables . . . . . . . . . . . . . . . . . . 6 3.3 Learning probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.4 A final remark on learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

Henning Christiansen

[1] Taisuke Sato,et al. Statistical Abduction with Tabulation , 2002, Computational Logic: Logic Programming and Beyond.

[2] Lakhmi C. Jain,et al. Introduction to Bayesian Networks , 2008 .

[3] Henning Christiansen,et al. A Machine Learning Approach to Test Data Generation: A Case Study in Evaluation of Gene Finders , 2007, MLDM.

[4] Eugene Charniak,et al. Statistical language learning , 1997 .

[5] Yoram Singer,et al. The Hierarchical Hidden Markov Model: Analysis and Applications , 1998, Machine Learning.

[6] Richard E. Neapolitan,et al. Learning Bayesian networks , 2007, KDD '07.

[7] Finn Verner Jensen,et al. Introduction to Bayesian Networks , 2008, Innovations in Bayesian Networks.

[8] Eugene Charniak,et al. Bayesian Networks without Tears , 1991, AI Mag..

[9] Yoshitaka Kameya,et al. Parameter Learning of Logic Programs for Symbolic-Statistical Modeling , 2001, J. Artif. Intell. Res..