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Home > Advances in Intelligent Data Analysis V: 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings > Guided Incremental Construction of Belief Networks
Advances in Intelligent Data Analysis V: 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings |
Michael R. Berthold; Hans-Joachim Lenz; Elizabeth Bradley; Rudolf Kruse; Christian Borgelt
Springer Berlin Heidelberg
Advances in Intelligent Data Analysis V: 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings
Guided Incremental Construction of Belief Networks
Authors

Charles A. Sutton; Brendan Burns; Clayton Morrison; Paul R. Cohen

ARI Id

1664372055277_1408597

Access

Not Available Free

Pages

533-543

DOI

10.1007/978-3-540-45231-7_49

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-45231-7_49

Table of Contents of Book
Showing 1 to 20 of 58 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Pruning for Monotone Classification Trees
Ad Feelders; Martijn Pardoel
1-12
Regularized Learning with Flexible Constraints
Eyke Hüllermeier
13-24
Learning to Answer Emails
Michael Kockelkorn; Andreas Lüneburg; Tobias Scheffer
25-35
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
Axel Großmann; Matthias Wendt; Jeremy Wyatt
36-47
Using Domain Specific Knowledge for Automated Modeling
Ljupčo Todorovski; Sašo Džeroski
48-59
Resolving Rule Conflicts with Double Induction
Tony Lindgren; Henrik Boström
60-67
A Novel Partial-Memory Learning Algorithm Based on Grey Relational Structure
Chi-Chun Huang; Hahn-Ming Lee
68-75
Constructing Hierarchical Rule Systems
Thomas R. Gabriel; Michael R. Berthold
76-87
Text Categorization Using Hybrid Multiple Model Schemes
In-Cheol Kim; Soon-Hee Myoung
88-99
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Allan Tucker; Xiaohui Liu
100-110
Topology and Intelligent Data Analysis
V. Robins; J. Abernethy; N. Rooney; E. Bradley
111-122
Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events
Giulianella Coletti; Romano Scozzafava
123-133
Very Predictive Ngrams for Space-Limited Probabilistic Models
Paul R. Cohen; Charles A. Sutton
134-142
Interval Estimation Naïve Bayes
V. Robles; P. Larrañaga; J. M. Peña; E. Menasalvas; M. S. Pérez
143-154
Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author Networks
Peter Mutschke
155-166
Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs
Peter Geibel; Ulf Brefeld; Fritz Wysotzki
167-178
An Effective Associative Memory for Pattern Recognition
Boris Kryzhanovsky; Leonid Litinskii; Anatoly Fonarev
179-186
Similarity Based Classification
Axel E. Bernal; Karen Hospevian; Tayfun Karadeniz; Jean-Louis Lassez
187-197
Numerical Attributes in Decision Trees: A Hierarchical Approach
Fernando Berzal; Juan-Carlos Cubero; Nicolás Marín; Daniel Sánchez
198-207
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 58 entries
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