Learning in the “Real World”
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[1] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[2] S Frediani,et al. Knowledge base organization in expert systems , 1986, ISMIS '86.
[3] Filippo Neri,et al. An Analysis of the Universal Suffrage Selection Operator , 1996, Evolutionary Computation.
[4] Francesco Bergadano,et al. A Knowledge Intensive Approach to Concept Induction , 1988, ML Workshop.
[5] Ryszard S. Michalski,et al. A theory and methodology of inductive learning , 1993 .
[6] P Chambon,et al. Organization and expression of eucaryotic split genes coding for proteins. , 1981, Annual review of biochemistry.
[7] Haym Hirsh,et al. Inductive learning for engineering design optimization , 1996, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.
[8] Edward C. Uberbacher,et al. GRAIL: a multi-agent neural network system for gene identification , 1996, Proc. IEEE.
[9] Lawrence Hunter,et al. Finding Relevant Biomolecular Features , 1993, ISMB.
[10] Ron Kohavi,et al. Option Decision Trees with Majority Votes , 1997, ICML.
[11] Filippo Neri,et al. Exploring the Power of Genetic Search in Learning Symbolic Classifiers , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[12] S. Létourneau. Discovering Useful Knowledge from Aircraft Operation / Maintenance Data , 1997 .
[13] Richard Maclin,et al. Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection , 1997, ICML.
[14] Tom M. Mitchell,et al. Does Machine Learning Really Work? , 1997, AI Mag..
[15] D. Hestenes. Toward a modeling theory of physics instruction , 1987 .
[16] Wray L. Buntine,et al. Intelligent Instruments: Discovering How to Turn Spectral Data into Information , 1995, KDD.
[17] Marco Botta,et al. FONN: Combining First Order Logic with Connectionist Learning , 1997, ICML.
[18] A. Tiberghien. Modeling as a basis for analyzing teaching-learning situations , 1994 .
[19] Evangelos Simoudis,et al. Mining business databases , 1996, CACM.
[20] Carol L. Smith,et al. Using Conceptual Models to Facilitate Conceptual Change: The Case of Weight-Density Differentiation , 1992 .
[21] L. Saitta,et al. Rigel: An inductive learning system , 2004, Machine Learning.
[22] Derek H. Sleeman,et al. Consultant-2: pre- and post-processing of Machine Learning applications , 1995, Int. J. Hum. Comput. Stud..
[23] Christopher J. Merz,et al. UCI Repository of Machine Learning Databases , 1996 .
[24] Donato Malerba,et al. Multistrategy Learning for Document Recognition , 1994, Appl. Artif. Intell..
[25] V. SyllogicB.,et al. Industrial requirements for ML application technology , 1997 .
[26] Gregory Piatetsky-Shapiro,et al. The KDD process for extracting useful knowledge from volumes of data , 1996, CACM.
[27] Ian H. Witten,et al. Applying a Machine Learning Workbench: Experience with Agricultural Databases , 1996 .
[28] Lorenza Saitta,et al. Machine learning - an integrated framework and its applications , 1991, Ellis Horwood series in artificial intelligence.
[29] AlgorithmsCarla E. Brodley. The Process of Applying Machine Learning , 1995 .
[30] Lorenza Saitta,et al. Automatic construction of second generation diagnostic expert systems , 1991 .
[31] James D. Slotta,et al. Understanding constraint-based processes: A precursor to conceptual change in physics , 1996 .
[32] Herbert A. Simon,et al. Applications of machine learning and rule induction , 1995, CACM.
[33] Stan Matwin,et al. Addressing the Curse of Imbalanced Training Sets: One-Sided Selection , 1997, ICML.
[34] A. Giordana,et al. ENIGMA: A System That Learns Diagnostic Knowledge , 1993, IEEE Trans. Knowl. Data Eng..
[35] Attilio Giordana,et al. Learning Structured Concepts Using Genetic Algorithms , 1992, ML.
[36] Jude W. Shavlik,et al. Training Knowledge-Based Neural Networks to Recognize Genes , 1990, NIPS.
[37] Stephen M. Mount,et al. A catalogue of splice junction sequences. , 1982, Nucleic acids research.
[38] L. Asker,et al. Building the DeNOx System : Experience from a Real-World Application of Machine Learning , 1995 .
[39] Pat Langley. Challenges for the Application of Machine Learning , 1997 .
[40] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[41] Sankar K. Pal,et al. Genetic Algorithms for Pattern Recognition , 2017 .
[42] K. S. Narendra,et al. Neural networks for control theory and practice , 1996, Proc. IEEE.
[43] Mario Milanese,et al. Optimization of diagnostic procedures in hepatology , 1982 .
[44] Cristina Baroglio,et al. Learning Controllers for Industrial Robots , 2005, Machine Learning.
[45] Gregory Piatetsky-Shapiro. Data Mining and Knowledge Discovery: The Third Generation (Extended Abstract) , 1997, ISMIS.
[46] Abraham Silberschatz,et al. On Subjective Measures of Interestingness in Knowledge Discovery , 1995, KDD.
[47] Yong Lee,et al. Technology Transfer from University to Industry , 1994 .
[48] Lorenza Saitta,et al. Automated Concept Acquisition in Noisy Environments , 1988, IEEE Trans. Pattern Anal. Mach. Intell..
[49] Stella Vosniadou,et al. Mental Models of the Day/Night Cycle , 1994, Cogn. Sci..
[50] Marco Botta,et al. SMART+: A Multi-Strategy Learning Tool , 1993, IJCAI.
[51] S. Carey. Conceptual Change in Childhood , 1985 .
[52] M Milanese,et al. Selection and assessment of laboratory tests for the evaluation of liver functional impairment. , 1985, Methods of information in medicine.
[53] U. M. Feyyad. Data mining and knowledge discovery: making sense out of data , 1996 .
[54] Lorenza Saitta,et al. Learning Disjunctive Concepts by Means of Genetic Algorithms , 1994, ICML.
[55] Ron Kohavi,et al. MineSet: An Integrated System for Data Mining , 1997, KDD.
[56] David J. Spiegelhalter,et al. Machine Learning, Neural and Statistical Classification , 2009 .
[57] A. diSessa. Toward an Epistemology of Physics , 1993 .
[58] Filippo Neri,et al. Search-Intensive Concept Induction , 1995, Evolutionary Computation.
[59] Enrico Blanzieri,et al. Learning Radial Basis Function Networks On-line , 1996, International Conference on Machine Learning.
[60] Donato Malerba,et al. Empirical learning methods for digitized document recognition: an integrated approach to inductive generalization , 1990, Sixth Conference on Artificial Intelligence for Applications.
[61] Lorenza Saitta,et al. A semiautomated methodology for knowledge elicitation , 1993, IEEE Trans. Syst. Man Cybern..
[62] Guido Lindner,et al. Ml and Statistics for Trend Prognosis of Complaints in the Automobile Industry , 1997 .
[63] Jeff A. Johnson,et al. Technology transfer: so much research, so few good products , 1996, CHI Conference Companion.
[64] Roy Rada,et al. Machine learning - applications in expert systems and information retrieval , 1986, Ellis Horwood series in artificial intelligence.
[65] Richard O. Mason,et al. Applying ethics to information technology issues , 1995, CACM.
[66] Lorenza Saitta,et al. A Coevolutionary Approach to Concept Learning , 1997, ISMIS.
[67] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[68] Åsa Rudström,et al. Applications of Machine Learning , 2020, Algorithms for Intelligent Systems.
[69] David Haussler,et al. KDD for Science Data Analysis: Issues and Examples , 1996, KDD.
[70] Douglas H. Fisher,et al. Overcoming process delays with decision tree induction , 1994, IEEE Expert.
[71] Ashwin Ram,et al. Situation development in a complex real-world domain , 1997 .
[72] Gholamreza Nakhaeizadeh,et al. What Daimler-Benz has learned as an industrial partner from the Machine Learning Project StatLog , 1995 .
[73] Bernard Widrow,et al. Neural networks: applications in industry, business and science , 1994, CACM.
[74] Ying Xu,et al. Inferring Gene Structures in Genomic Sequences Using Pattern Recognition and Expressed Sequence Tags , 1997, ISMB.
[75] F. Verdenius,et al. Proceedings of the workshop Machine Learning Application in the Real World: Methodological Aspects and Implications, hosted by the 14th International Conference on Machine Learning (ICML-97), Nashville, USA , 1997 .
[76] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[77] Donald Michie,et al. Machine intelligence and related topics , 1982 .
[78] E. Uberbacher,et al. Locating protein-coding regions in human DNA sequences by a multiple sensor-neural network approach. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[79] Ron Kohavi,et al. Data Mining using MLC , 1996 .
[80] M. Nuttin,et al. Learning controllers for industrial robots , 1996, Machine Learning.
[81] Ivan Bratko,et al. Applications of inductive logic programming , 1995, SGAR.
[82] Filippo Neri,et al. Integrating Multiple Learning Strategies in First Order Logics , 1997, Machine Learning.
[83] L. Mcginnis. Real world. , 2002, Bulletin of the American College of Surgeons.