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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.
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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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