Extracting Rules From Neural Networks as Decision Diagrams
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[1] Randal E. Bryant,et al. Graph-Based Algorithms for Boolean Function Manipulation , 1986, IEEE Transactions on Computers.
[2] Jude Shavlik,et al. Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks , 1990, AAAI.
[3] Sebastian Thrun,et al. The MONK''s Problems-A Performance Comparison of Different Learning Algorithms, CMU-CS-91-197, Sch , 1991 .
[4] LiMin Fu,et al. Rule Generation from Neural Networks , 1994, IEEE Trans. Syst. Man Cybern. Syst..
[5] David W. Opitz,et al. Dynamically adding symbolically meaningful nodes to knowledge-based neural networks , 1995, Knowl. Based Syst..
[6] Joachim Diederich,et al. Survey and critique of techniques for extracting rules from trained artificial neural networks , 1995, Knowl. Based Syst..
[7] Ron Kohavi,et al. Oblivious Decision Trees, Graphs, and Top-Down Pruning , 1995, IJCAI.
[8] Mark Craven,et al. Extracting comprehensible models from trained neural networks , 1996 .
[9] Jacek M. Zurada,et al. Perturbation method for deleting redundant inputs of perceptron networks , 1997, Neurocomputing.
[10] H. Andersen. An Introduction to Binary Decision Diagrams , 1997 .
[11] Joachim Diederich,et al. The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks , 1998, IEEE Trans. Neural Networks.
[12] R. Krishnan,et al. A search technique for rule extraction from trained neural networks , 1999, Pattern Recognit. Lett..
[13] Alan B. Tickle. The truth is in there : directions and challenges in extracting rules from trained ar tificial neural networks , 2001 .
[14] Amir Pnueli,et al. The ROBDD Size of Simple CNF Formulas , 2003, CHARME.
[15] Bart Baesens,et al. Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation , 2003, Manag. Sci..
[16] Bart Baesens,et al. Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data , 2004, Diagrams.
[17] Alberto L. Sangiovanni-Vincentelli,et al. Using the minimum description length principle to infer reduced ordered decision graphs , 1996, Machine Learning.
[18] Joachim Diederich,et al. Eclectic Rule-Extraction from Support Vector Machines , 2005 .
[19] Paulo J. G. Lisboa,et al. Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach , 2006, IEEE Transactions on Neural Networks.
[20] Bart Baesens,et al. Recursive Neural Network Rule Extraction for Data With Mixed Attributes , 2008, IEEE Transactions on Neural Networks.
[21] Zhi-Hua Zhou,et al. Rule extraction: Using neural networks or for neural networks? , 2004, Journal of Computer Science and Technology.
[22] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.