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Literature
Signature | Author(s) | year | Title |
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Press/92a | Press, W. H. | 1992 | Numerical Recipes in C | Brazdil/98a | Pavel Brazdil | 1998 | Data Transformation and Model Selection by Experimentation and Meta-Learning | Parzen/62a | Parzen, E. | 1962 | On estimation of a probability density function and mode | Ourston/Mooney/90a | Ourston, D. and Mooney, R. J. | 1990 | Changing the rules: A comprehensive approach to theory refinement | Ohsuga/etal/2001a | Ohsuga, S. and Zhong, N. and Liu, C. | 2001 | Dynamically Organizing KDD Processes. | Nadaraya/64a | Nadaraya, E. A. | 1964 | On estimating regression | Zhong/etal/97a | N. Zhong and C. Liu and S. Ohsuga | 1997 | A Way of Increasing both Autonomy and Versatility of a KDD System | Mitchell/97b | Mitchell, Tom M. | 1997 | Machine Learning | Mahoney/Mooney/93a | Mahoney, J. J. and Mooney, R. J. | 1993 | Combining connectionist and symbolic learning to refine certainty-factor rule-bases | Loader/Cleveland/95b | Loader, C. and Cleveland, W. | 1995 | Smoothing by Local Regression: Principles and Methods (with discussion) | Loader/Cleveland/95a | Loader, C. and Cleveland, W. | 1995 | Computational Statistics | Karalic/Bratko/97a | Karalic, A. and Bratko, I. | 1997 | First Order Regression | Karalic/95a | Karalic, A. | 1995 | First Order Regression | Bennett/99a | K. Bennett | 1999 | Combining Support Vector and Mathematical Programming Methods for Classification | Quinlan/93b | John Ross Quinlan | 1993 | C4.5: Programs for Machine Learning | Joachims/99a | Joachims, Thorsten | 1999 | Making large-Scale SVM Learning Practical | Joachims/98a | Joachims, Thorsten | 1998 | Text Categorization with Support Vector Machines: Learning with Many Relevant Features | Wogulis/Pazzani/93a | James Wogulis and Michael J. Pazzani | 1993 | A Methodology for Evaluating Theory Revision Systems: Results with Audrey II | Quinlan/96a | J.R. Quinlan | 1996 | Learning First-Order Definitions of Functions | Rissanen/82a | J. Rissanen | 1982 | A universal prior for integers and estimation by the minimum description length | Hastie/Tibshirani/90a | Hastie, T. and Tibshirani, R. | 1990 | Generalized Additive Models | Goerz/etal/2000a | Görz, G. and Schneeberger, J. and Rollinger, C. | 2000 | Handbuch der künstlichen Intelligenz | Ginsberg/88b | Ginsberg, A. | 1988 | Automatic Refinement of expert system knowledge bases | Ganascia/90a | Ganascia, Jean-Gabriel | 1990 | L'^ame-machine | Gaerdenfors/88a | G?rdenfors, Peter | 1988 | Knowledge in Flux --- Modeling the Dynamics of Epistemic States | > Show next 25 entries (50 ... ) |
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