Artificial Intelligence Frontiers in Statistics: AI and Statistics III Book

	List of contributors
	Introduction
Pt. 1	Statistical expert systems	1
1	DEXPERT: an expert system for the design of experiments	3
2	Inside two commercially available statistical expert systems	17
3	AMIA: Aide a la Modelisation par l'Intelligence Artificielle (expert system for simulation modelling and sectoral forecasting)	31
4	An architecture for knowledge-based statistical support systems	39
5	Enhancing explanation capabilities of statistical expert systems through hypertext	46
6	Measurement scales as metadata	54
Pt. 2	Belief networks	65
7	On the design of belief networks for knowledge-based systems	67
8	Lack-of-information based control in graphical belief systems	82
9	Adaptive importance sampling for Bayesian networks applied to filtering problems	90
10	Intelligent arc addition, belief propagation and utilization of parallel processors by probabilistic inference engines	106
11	A new method for representing and solving Bayesian decision problems	109
Pt. 3	Learning	139
12	Inferring causal structure in mixed populations	141
13	A knowledge acquisition inductive system guided by empirical interpretation of derived results	156
14	Incorporating statistical techniques into empirical symbolic learning systems	168
15	Learning classification trees	182
16	An analysis of two probabilistic model induction techniques	202
Pt. 4	Neural networks	215
17	A robust back propagation algorithm for function approximation	217
18	Maximum likelihood training of neural networks	241
19	A connectionist knowledge acquisition tool: CONKAT	256
20	Connectionist, rule-based, and Bayesian decision aids: an empirical comparison	264
Pt. 5	Text manipulation	279
21	Statistical approaches to aligning sentences and identifying word correspondences in parallel texts: a report on work in progress	281
22	Probabilistic text understanding	295
23	The application of machine learning techniques in subject classification	312
Pt. 6	Other areas	325
24	A statistical semantics for causation	327
25	Admissible stochastic complexity models for classification problems	335
26	Combining the probability judgements of experts: statistical and artificial intelligence approaches	348
27	Randomness and independence in non-monotonic reasoning	362
28	Consistent regions in probabilistic logic when using different norms	370
29	A decision theoretic approach to controlling the cost of planning	387
	Index	401