Artificial intelligence frontiers in statistics : AI and statistics III

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