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Integrating Neural Networks and Semi‐Markov Processes for Automated Knowledge Acquisition: An Application to Real‐time Scheduling*
7 references·0 citing·28 second hop
Integrating Neural Networks and Semi‐Markov Processes for Automated Knowledge Acquisition: An Application to Real‐time Scheduling* (1992)Integrating Neural Networks and Semi‐Mark…Airline Safety: The Last Decade (1989)Airline Safety: The Last Deca…Using an Expert System with Inductive Learning to Evaluate Business Loans (1988)Using an Expert System with I…Inducing Rules for Expert System Development: An Example Using Default and Bankruptcy Data (1988)Inducing Rules for Expert Sys…Bond rating: A non-conservative application of neural networks (1988)Bond rating: A non-conservati…PREDICTING STOCK MARKET BEHAVIOR THROUGH RULE INDUCTION: AN APPLICATION OF THE LEARNING‐FROM‐EXAMPLE APPROACH* (1987)PREDICTING STOCK MARKET BEHAV…Assessing Credit Card Applications Using Machine Learning (1987)Assessing Credit Card Applica…Interactive Scheduling: Historical Survey and State of the Art (1978)Interactive Scheduling: Histo…Experiments in induction (1966)Financial Ratios As Predictors of Failure (1966)Human Problem Solving (1972)Hybrid neural network models for bankruptcy predictions (1996)Dynamics of Modeling in Data Mining: Interpretive Approach to Bankruptcy Prediction (1999)50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science (2004)Experiments in Induction (1967)A survey of knowledge acquisition techniques and their relevance to managerial problem domains (1988)An empirical investigation of some data effects on the classification accuracy of probit, ID3, and neural networks* (1992)Evaluation of the effectiveness of green practices in manufacturing sector using CHAID analysis (2018)Man-Computer Symbiosis (1960)Production and inventory management (1983)Journal of Industrial Engineering (2017)An Artificial Intelligence Approach to Model Management in Decision Support Systems (1984)The Experimental Design of Classification Models: An Application of Recursive Partitioning and Bootstrapping to Commercial Bank Loan Classifications (1984)A Multicriteria Decision Aid Methodology for Sorting Decision Problems: The Case of Financial Distress (1999)Intelligent multicriteria decision support: Overview and perspectives (1999)Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction (2012)Judgment Under Uncertainty: Heuristics and Biases. (1984)Fear of Flying? Economic Analyses of Airline Safety (1992)Aviation human factors: a framework for the new millennium (1999)The Implementation and the Effects of Regulatory Reform: Past Experience and Current Issues (2000)Multiple classifier application to credit risk assessment (2009)An empirical study of classification algorithm evaluation for financial risk prediction (2010)A Comparative Assessment of Credit Risk Model Based on Machine Learning ——a case study of bank loan data (2020)A Model-Selection Approach to Assessing the Information in the Term Structure Using Linear Models and Artificial Neural Networks (1995)An artificial neural network-GARCH model for international stock return volatility (1997)Forecasting exchange rates using general regression neural networks (2000)
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References

  • 1988Inducing Rules for Expert System Development: An Example Using Default and Bankruptcy Data289 cited
  • 1988Bond rating: A non-conservative application of neural networks268 cited
  • 1987Assessing Credit Card Applications Using Machine Learning204 cited
  • 1988Using an Expert System with Inductive Learning to Evaluate Business Loans108 cited
  • 1987PREDICTING STOCK MARKET BEHAVIOR THROUGH RULE INDUCTION: AN APPLICATION OF THE LEARNING‐FROM‐EXAMPLE APPROACH*96 cited
  • 1989Airline Safety: The Last Decade88 cited
  • 1978Interactive Scheduling: Historical Survey and State of the Art60 cited

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