Nonlinear markov networks for continuous variables

Advances in Neural Information Processing Systems

Volumn , Issue , 1998, Pages 521-527

  Hofmann, Reimar ^a   Tresp, Volker ^a  

^a SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS VARIABLES; GAINING INSIGHTS; LEARNING STRUCTURE; MARKOV NETWORKS; MODEL RELATIONSHIPS; MULTI-DIMENSIONAL DENSITY ESTIMATIONS; NEURAL NETWORK STRUCTURES; NON-GAUSSIAN;

MARKOV PROCESSES;

EID: 0011374008     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Geman, S., and Geman, D. (1984). Stochastic relaxations, Gibbs distributions and the Bayesian restoration of images. IEEE Trans, on Pattern Analysis and Machine Intelligence PAMI-6 (no. 6): 721 -42.
2. Hofmann, R. (1997). Inference in Markov Blanket Models. Technical report, in preparation.
3. Monti, S., and Cooper, G. (1997). Learning Bayesian belief networks with neural network estimators. In Neural Information Processing Systems 9., MIT Press.
4. Pearl, J. (1988). Probabilistic reasoning in intelligent systems. San Mateo: Morgan Kaufmann.
5. Whittaker, J. (1990). Graphical models in applied multivariate statistics. Chichester, UK: John Wiley and Sons.