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Home > Learning from Data: Artificial Intelligence and Statistics V > Classification Using Bayes Averaging of Multiple, Relational Rule-based Models
Learning from Data: Artificial Intelligence and Statistics V |
Doug Fisher; Hans-J. Lenz
Springer New York
Learning from Data: Artificial Intelligence and Statistics V
Classification Using Bayes Averaging of Multiple, Relational Rule-based Models
Authors

Kamal Ali; Michael Pazzani

ARI Id

1674219920352_3845443

Access

Not Available Free

Pages

207-217

DOI

10.1007/978-1-4612-2404-4_20

Chapter URL

https://rd.springer.com/chapter/10.1007/978-1-4612-2404-4_20

Table of Contents of Book
Showing 1 to 20 of 52 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xii
Front Matter
1-1
Two Algorithms for Inducing Structural Equation Models from Data
Paul R. Cohen; Dawn E. Gregory; Lisa Ballesteros; Robert St. Amant
3-12
Using Causal Knowledge to Learn More Useful Decision Rules From Data
Louis Anthony Cox Jr.
13-22
A Causal Calculus for Statistical Research
Judea Pearl
23-33
Likelihood-based Causal Inference
Qing Yao; David Tritchler
35-44
Front Matter
45-45
Ploxoma: Testbed for Uncertain Inference
H. Blau
47-57
Solving Influence Diagrams Using Gibbs Sampling
Ali Jenzarli
59-68
Modeling and Monitoring Dynamic Systems by Chain Graphs
Alberto Lekuona; Beatriz Lacruz; Pilar Lasala
69-77
Propagation of Gaussian belief functions
Liping Liu
79-88
On Test Selection Strategies for Belief Networks
David Madigan; Russell G. Almond
89-98
Representing and Solving Asymmetric Decision Problems Using Valuation Networks
Prakash P. Shenoy
99-108
A Hill-Climbing Approach for Optimizing Classification Trees
Xiaorong Sun; Steve Y. Chiu; Louis Anthony Cox
109-117
Front Matter
119-119
Learning Bayesian Networks is NP-Complete
David Maxwell Chickering
121-130
Heuristic Search for Model Structure: the Benefits of Restraining Greed
John F. Elder IV
131-142
Learning Possibilistic Networks from Data
Jörg Gebhardt; Rudolf Kruse
143-153
Detecting Imperfect Patterns in Event Streams Using Local Search
Adele E. Howe
155-164
Structure Learning of Bayesian Networks by Hybrid Genetic Algorithms
Pedro Larrañaga; Roberto Murga; Mikel Poza; Cindy Kuijpers
165-174
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 52 entries
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