This book presents a summary of recent work on the interface between artificial intelligence and statistics. It does this through a series of papers by different authors working in different areas of this interface. These papers are a selected and referenced subset of papers presented at the 3rd Interntional Workshop on Artificial Intelligence and Statistics, Florida, January 1991.
This book presents a summary of recent work on the interface between artificial intelligence and statistics. It does this through a series of papers by different authors working in different areas of this interface. These papers are a selected and referenced subset of papers presented at the 3rd Interntional Workshop on Artificial Intelligence and Statistics, Florida, January 1991.
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.
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.
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