Discovering Structure in Continuous Variables Using Bayesian Networks

NIPS 1995: Proceedings of the 8th International Conference on Neural Information Processing Systems

Volumn , Issue , 1995, Pages 500-506

  Hofmarin, Reimar ^a   Tresp, Volker ^a  

^a SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIA N NETWORKS; CONDITIONAL DENSITY; CONTINUOUS VARIABLES; DATA SET; DENSITY ESTIMATOR; DENSITY MODELING; MARKOV BLANKETS; SAMPLING TECHNIQUE; SELF-ORGANISED;

EID: 85156253956     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Buntine, W. (1994). Operations for learning with graphical models. Journal of Artificial Intelligence Research 2:159-225.
2. Heckerman, D. (1995). A tutorial on learning Bayesian networks. Microsoft Research, TR. MSR-TR-95-06, 1995.
3. Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems, San Mateo, CA: Morgan Kaufmann.