Artificial Intelligence Frontiers in Statistics: AI and statistics III

Content: 
Front Matter....Pages i-xvii
Front Matter....Pages 1-1
DEXPERT: an expert system for the design of experiments....Pages 3-16
Inside two commercially available statistical expert systems....Pages 17-30
AMIA: Aide à la Modélisation par l’Intelligence Artificielle....Pages 31-38
An architecture for knowledge-based statistical support systems....Pages 39-45
Enhancing explanation capabilities of statistical expert systems through hypertext....Pages 46-53
Measurement scales as metadata....Pages 54-64
Front Matter....Pages 65-65
On the design of belief networks for knowledge-based systems....Pages 67-81
Lack-of-information-based control in graphical belief systems....Pages 82-89
Adaptive importance sampling for Bayesian networks applied to filtering problems....Pages 90-105
Intelligent arc addition, belief propagation and utilization of parallel processors by probabilistic inference engines....Pages 106-118
A new method for representing and solving Bayesian decision problems....Pages 119-138
Front Matter....Pages 139-139
Inferring causal structure in mixed populations....Pages 141-155
A knowledge acquisition inductive system driven by empirical interpretation of derived results....Pages 156-167
Incorporating statistical techniques into empirical symbolic learning systems....Pages 168-181
Learning classification trees....Pages 182-201
An analysis of two probabilistic model induction techniques....Pages 202-214
Front Matter....Pages 215-215
A robust back-propagation learning algorithm for function approximation....Pages 217-240
Maximum likelihood training of neural networks....Pages 241-255
A connectionist knowledge-acquisition tool: CONKAT....Pages 256-263
Connectionist, rule-based and Bayesian decision aids: an empirical comparison....Pages 264-278
Front Matter....Pages 279-279
A statistical approach to aligning sentences in bilingual corpora....Pages 281-294
Probabilistic text understanding....Pages 295-311
The application of machine learning techniques in subject classification....Pages 312-324
Front Matter....Pages 325-325
A statistical semantics for causation....Pages 327-334
Admissible stochastic complexity models for classification problems....Pages 335-347
Combining the probability judgements of experts: statistical and artificial intelligence approaches....Pages 348-361
Randomness and independence in non-monotonic reasoning....Pages 362-369
Consistent regions in probabilistic logic when using different norms....Pages 370-386
A decision-theoretic approach to controlling the cost of planning....Pages 387-400
Back Matter....Pages 401-410