David J Hand

Artificial Intelligence Frontiers in Statistics

Al and Statistics III

• Gebundenes Buch

Produktbeschreibung

This book presents a summary of recent work on the interface between artificial intelligence and statistics

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 432
• Erscheinungstermin: 1. Dezember 1992
• Englisch
• Abmessung: 239mm x 164mm x 26mm
• Gewicht: 694g
• ISBN-13: 9780412407109
• ISBN-10: 0412407108
• Artikelnr.: 21205958

Autorenporträt

D.J. Hand is Professor of Statistics at the Open University, UK.

Inhaltsangabe

List of contributors Introduction D.J. Hand
PART ONE Statistical expert systems
1 DEXPERT: an expert system for the design of experiments /T.J. Lorenzen, L.T. Truss, W.S. Spangler, W.T. Corpus and A.B. Parker
2 Inside two commercially available statistical expert systems /J.F.M. Raes
3 AMIA: Aide a la Modelisation par l'lntelligence Artificielle (expert system for simulation modelling and sectoral forecasting) /M. Ollivier, R. Arrus, JML
A. Durillon, S. Robert and B. Debord
4 An architecture for knowledge
based statistical support systems /A. Prat, E. Edmonds, J.M. Catot, J. Lores, J. Galmes and P. Fletcher
5 Enhancing explanation capabilities of statistical expert systems through hypertext /P. Hietala
6 Measurement scales as metadata D.J. Hand /PART TWO Belief networks
7 On the design of belief networks for knowledge
based systems /B. Abramson
8 Lack
of
information based control in graphical belief systems
9 Adaptive importance sampling for Bayesian networks applied to filtering problems /A.R. Runnalls
10 Intelligent arc addition, belief propagation and utilization of parallel processors by probabilistic inference engines /A. Ranjbar and M. McLeish
11 A new method for representing and solving Bayesian decision problems /P.P. Shenoy
PART THREE Learning
12 Inferring causal structure in mixed populations /C. Glymour, P. Spirtes and R. Scheines
13 A knowledge acquisition inductive system guided by empirical interpretation of derived results /K. Tsujino and S. Nishida
14 Incorporating statistical techniques into empirical symbolic learning systems /F. Esposito, D. Malerba and G. Semeraro
15 Learning classification trees /W. Buntine
16 An analysis of two probabilistic model induction techniques /S.L. Crawford and M. Fung
PART FOUR Neural networks
17 A robust back propagation algorithm for function approximation /D.S. Chen and R.C. Jain
18 Maximum likelihood training of neural networks /H. Gish
19 A connectionist knowledge acquisition tool: CONKAT /A. Ultsch, R. Mantyk and G. Halmans
20 Connectionist, rule
based, and Bayesian decision aids: an empirical comparison /S. Schwartz, J. Wiles, I. Gough and S. Phillips
PART FIVE Text manipulation
21 Statistical approaches to aligning sentences and identifying word correspondences in parallel texts: a report on work in progress /W.A. Gale and K.W. Church
22 Probabilistic text understanding /R.P. Goldman and E. Charniak
23 The application of machine learning techniques in subject classification /I. Kavanagh, C. Ward and J. Dunnion
PART SIX Other areas
24 A statistical semantics for causation /J. Pearl and T.S. Verma
25 Admissible stochastic complexity models for classification problems /P. Smyth
26 Combining the probability judgements of experts: statistical and artificial intelligence approaches /LA. Cox
27 Randomness and independence in non
monotonic reasoning /E. Neufeld
28 Consistent regions in probabilistic logic when using different norms /D. Bouchaffra
29 A decision theoretic approach to controlling the cost of planning /L. Hartman
Index.