Advances in Bayesian Networks
In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as Artificial Intelligence and Statistics. This carefully edited monograph is a compendium of the most recent advances in the area...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2004.
|
| Έκδοση: | 1st ed. 2004. |
| Σειρά: | Studies in Fuzziness and Soft Computing,
146 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Hypercausality, Randomisation Local and Global Independence
- Interface Verification for Multiagent Probabilistic Inference
- Optimal Time-Space Tradeoff In Probabilistic Inference
- Hierarchical Junction Trees
- Algorithms for Approximate Probability Propagation in Bayesian Networks
- Abductive Inference in Bayesian Networks: A Review
- Causal Models, Value of Intervention, and Search for Opportunities
- Advances in Decision Graphs
- Real-World Applications of Influence Diagrams
- Learning Bayesian Networks by Floating Search Methods
- A Graphical Meta-Model for Reasoning about Bayesian Network Structure
- Restricted Bayesian Network Structure Learning
- Scaled Conjugate Gradients for Maximum Likelihood: An Empirical Comparison with the EM Algorithm
- Learning Essential Graph Markov Models from Data
- Fast Propagation Algorithms for Singly Connected Networks and their Applications to Information Retrieval
- Continuous Speech Recognition Using Dynamic Bayesian Networks: A Fast Decoding Algorithm
- Applications of Bayesian Networks in Meteorology.
