Selecting Models from Data: Artificial Intelligence and Statistics IV

Front Matter....Pages i-x
Front Matter....Pages 1-1
Statistical strategy: step 1....Pages 3-9
Rational Learning: Finding a Balance Between Utility and Efficiency....Pages 11-20
A new criterion for selecting models from partially observed data....Pages 21-29
Small-sample and large-sample statistical model selection criteria....Pages 31-39
On the choice of penalty term in generalized FPE criterion....Pages 41-49
Cross-Validation, Stacking and Bi-Level Stacking: Meta-Methods for Classification Learning....Pages 51-59
Probabilistic approach to model selection: comparison with unstructured data set....Pages 61-70
Detecting and Explaining Dependencies in Execution Traces....Pages 71-77
A method for the dynamic selection of models under time constraints....Pages 79-88
Front Matter....Pages 89-89
Strategies for Graphical Model Selection....Pages 91-100
Conditional dependence in probabilistic networks....Pages 101-111
Reuse and sharing of graphical belief network components....Pages 113-122
Bayesian Graphical Models for Predicting Errors in Databases....Pages 123-131
Model Selection for Diagnosis and Treatment Using Temporal Influence Diagrams....Pages 133-142
Diagnostic systems by model selection: a case study....Pages 143-152
A Survey of Sampling Methods for Inference on Directed Graphs....Pages 153-162
Minimizing decision table sizes in influence diagrams: dimension shrinking....Pages 163-172
Models from Data for Various Types of Reasoning....Pages 173-179
Front Matter....Pages 181-181
Causal inference in artificial intelligence....Pages 183-196
Inferring causal structure among unmeasured variables....Pages 197-204
Front Matter....Pages 181-181
When can association graphs admit a causal interpretation?....Pages 205-214
Inference, Intervention, and Prediction....Pages 215-222
Attitude Formation Models: Insights from TETRAD....Pages 223-232
Discovering Probabilistic Causal Relationships: A Comparison Between Two Methods....Pages 233-242
Path Analysis Models of an Autonomous Agent in a Complex Environment....Pages 243-251
Front Matter....Pages 253-253
A Parallel Constructor of Markov Networks....Pages 255-261
Capturing observations in a nonstationary hidden Markov model....Pages 263-271
Extrapolating Definite Integral Information....Pages 273-282
The Software Reliability Consultant....Pages 283-292
Statistical Reasoning to Enhance User Modelling in Consulting Systems....Pages 293-298
Selecting a frailty model for longitudinal breast cancer data....Pages 299-307
Optimal design of reflective sensors using probabilistic analysis....Pages 309-317
Front Matter....Pages 319-319
Learning to Catch: Applying Nearest Neighbor Algorithms to Dynamic Control Tasks....Pages 321-328
Dynamic Recursive Model Class Selection for Classifier Construction....Pages 329-337
Minimizing the expected costs of classifying patterns by sequential costly inspections....Pages 339-349
Combining a knowledge-based system and a clustering method for a construction of models in ill-structured domains....Pages 351-360
Clustering of Symbolically Described Events for Prediction of Numeric Attributes....Pages 361-369
Symbolic Classifiers: Conditions to Have Good Accuracy Performance....Pages 371-380
Front Matter....Pages 381-381
Statistical and neural network techniques for nonparametric regression....Pages 383-392
Multicollinearity: A tale of two nonparametric regressions....Pages 393-402
Front Matter....Pages 381-381
Choice of Order in Regression Strategy....Pages 403-411
Modelling response models in software....Pages 413-424
Principal components and model selection....Pages 425-432
Front Matter....Pages 433-433
Algorithmic speedups in growing classification trees by using an additive split criterion....Pages 435-444
Markov Chain Monte Carlo Methods for Hierarchical Bayesian Expert Systems....Pages 445-452
Simulated annealing in the construction of near-optimal decision trees....Pages 453-462
SAIGA: Survival of the Fittest in Alaska....Pages 463-469
A Tool for Model Generation and Knowledge Acquisition....Pages 471-478
Using knowledge-assisted discriminant analysis to generate new comparative terms....Pages 479-486