Multi-modal diagnosis combining case-based and model-based reasoning: a formal and experimental analysis
暂无分享,去创建一个
[1] Luigi Portinale,et al. Approximate reasoning in a system combining prototypical knowledge with case-based reasoning , 1992 .
[2] Luigi Portinale,et al. Dynamic Case Memory Management , 1998, ECAI.
[3] Frank van Harmelen,et al. A Model of Costs and Benefits of Meta-Level Computation , 1994, META.
[4] Koen Vanhoof,et al. Integration Rules and Cases for the Classification Task , 1995, ICCBR.
[5] Koton Phyllis,et al. Using experience in learning and problem solving , 1988 .
[6] Bernhard Nebel,et al. Plan Reuse Versus Plan Generation: A Theoretical and Empirical Analysis , 1995, Artif. Intell..
[7] David Leake,et al. Case-Based Reasoning: Experiences, Lessons and Future Directions , 1996 .
[8] Remco Straatman,et al. A Performance Model for Knowledge-Based Systems , 1995, EUROVAV.
[9] Pietro Torasso,et al. An approach to the compilation of operational knowledge from casual models , 1992, IEEE Trans. Syst. Man Cybern..
[10] Ashok K. Goel,et al. Integration of case-based reasoning and model-based reasoning for adaptive design problem-solving , 1989 .
[11] Edwina L. Rissland,et al. Combining Case-Based and Rule-Based Reasoning: A Heuristic Approach , 1989, IJCAI.
[12] Luigi Portinale,et al. Case‐Base Maintenance in a Multimodal Reasoning System , 2001, Comput. Intell..
[13] Hector Muñoz-Avila,et al. On the Complexity of Plan Adaptation by Derivational Analogy in a Universal Classical Planning Framework , 2002, ECCBR.
[14] Phyllis Koton,et al. Using experience in learning and problem solving , 1988 .
[15] Karl Branting,et al. Rules and Precedents as Complementary Warrants , 1991, AAAI.
[16] David Heckerman,et al. Decision-theoretic case-based reasoning , 1994, IEEE Trans. Syst. Man Cybern. Part A.
[17] Padraig Cunningham,et al. The Utility Problem Analysed: A Case-Based Reasoning Perspective , 1996, EWCBR.
[18] Luigi Portinale,et al. Integrating Rule-Based and Case-Based Decision Making in Diabetic Patient Management , 1999, ICCBR.
[19] David C. Wilson,et al. Maintaining Case‐Based Reasoners: Dimensions and Directions , 2001, Comput. Intell..
[20] Nils J. Nilsson,et al. Artificial Intelligence , 1974, IFIP Congress.
[21] José L. Balcázar,et al. Structural complexity 1 , 1988 .
[22] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[23] Manuela M. Veloso,et al. Planning and Learning by Analogical Reasoning , 1994, Lecture Notes in Computer Science.
[24] Jean H. Gallier,et al. Linear-Time Algorithms for Testing the Satisfiability of Propositional Horn Formulae , 1984, J. Log. Program..
[25] Luigi Portinale,et al. Selecting Most Adaptable Diagnostic Solutions through Pivoting-Based Retrieval , 1997, ICCBR.
[26] Pietro Torasso,et al. A Utility-Based Approach to Learning in a Mixed Case-Base and Model-Based Reasoning Architecture , 1997, ICCBR.
[27] Pietro Torasso,et al. A spectrum of logical definitions of model‐based diagnosis 1 , 1991, Comput. Intell..
[28] Kristian J. Hammond,et al. Opportunism and Learning , 1993, Machine Learning.
[29] Luigi Portinale,et al. Performance Issues in ADAPTER a Combined CBR-MBR Diagnostic Architecture , 1998 .
[30] Dean Allemang,et al. The Computational Complexity of Abduction , 1991, Artif. Intell..
[31] Peter J. F. Lucas,et al. Analysis of Notions of Diagnosis , 1998, Artif. Intell..
[32] Hector J. Levesque,et al. Abductive and Default Reasoning: A Computational Core , 1990, AAAI.
[33] Nick Cercone,et al. Integrating Rule Induction and Case-Based Reasoning to Enhance Problem Solving , 1997, ICCBR.
[34] Ashok K. Goel,et al. Multistrategy adaptive path planning , 1994, IEEE Expert.
[35] José L. Balcázar,et al. Structural Complexity I , 1995, Texts in Theoretical Computer Science An EATCS Series.
[36] Luigi Portinale,et al. ADAPtER: An Integrated Diagnostic System Combining Case-Based and Abductive Reasoning , 1995, ICCBR.
[37] Mark T. Keane,et al. Design à la Déjà Vu Reducing the Adaptation Overhead , 1996 .
[38] Brigitte Bartsch-Spörl,et al. Towards the Integration of Case-Based, Schema-Based and Model-Based Reasoning for Supporting Complex Design Tasks , 1995, ICCBR.
[39] Luigi Portinale,et al. Using Compiled Knowledge to Guide and Focus Abductive Diagnosis , 1996, IEEE Trans. Knowl. Data Eng..
[40] Jan van der Meij,et al. Learning with Multiple Representations , 1998 .
[41] David W. Aha,et al. Case-Based Reasoning Integrations , 2002, AI Mag..
[42] Isabelle Bichindaritz,et al. Case-Based Reasoning in CARE-PARTNER: Gathering Evidence for Evidence-Based Medical Practice , 1998, EWCBR.
[43] David Leake,et al. Combining Reasoning Modes, Levels, and Styles through Internal CBR* , 1998 .
[44] L. Zadeh,et al. Fuzzy Logic for the Management of Uncertainty , 1992 .
[45] Steven Minton,et al. Quantitative Results Concerning the Utility of Explanation-based Learning , 1988, Artif. Intell..
[46] Ashwin Ram,et al. The Utility Problem in Case-Based Reasoning , 1993 .
[47] Patrick Brézillon,et al. Lecture Notes in Artificial Intelligence , 1999 .
[48] Luigi Portinale,et al. On the Usefulness of Re-using Diagnostic Solutions , 1996, ECAI.
[49] Agnar Aamodt,et al. Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..
[50] Luigi Portinale,et al. Using Case-Based Reasoning to Focus Model-Based Diagnostic Problem Solving , 1993, EWCBR.