A survey of decision tree classifier methodology
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[1] Michael Satosi Watanabe,et al. Information-Theoretical Aspects of Inductive and Deductive Inference , 1960, IBM J. Res. Dev..
[2] Satosi Watanabe,et al. Learning process and inverse H-theorem , 1962, IRE Trans. Inf. Theory.
[3] Roger Fletcher,et al. A Rapidly Convergent Descent Method for Minimization , 1963, Comput. J..
[4] Solomon W. Golomb,et al. Backtrack Programming , 1965, JACM.
[5] E. L. Lawler,et al. Branch-and-Bound Methods: A Survey , 1966, Oper. Res..
[6] G. F. Hughes,et al. On the mean accuracy of statistical pattern recognizers , 1968, IEEE Trans. Inf. Theory.
[7] Donald E. Knuth,et al. The Art of Computer Programming, Volume I: Fundamental Algorithms, 2nd Edition , 1997 .
[8] J. Andel. Sequential Analysis , 2022, The SAGE Encyclopedia of Research Design.
[9] Patrick Winston. A Heuristic Program that Constructs Decision Trees , 1969 .
[10] King-Sun Fu,et al. A Nonparametric Partitioning Procedure for Pattern Classification , 1969, IEEE Transactions on Computers.
[11] Satosi Watanabe,et al. Knowing and guessing , 1969 .
[12] Nils J. Nilsson,et al. Problem-solving methods in artificial intelligence , 1971, McGraw-Hill computer science series.
[13] Morton Nadler. Error and Reject Rates in a Hierarchical Pattern Recognizer , 1971, IEEE Transactions on Computers.
[14] Patrick A. V. Hall. Branch-and-Bound and Beyond , 1971, IJCAI.
[15] S. Yau,et al. LEAST-MEAN-SQUARE APPROACH TO PATTERN CLASSIFICATION , 1972 .
[16] William S. Meisel,et al. A Partitioning Algorithm with Application in Pattern Classification and the Optimization of Decision Trees , 1973, IEEE Transactions on Computers.
[17] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[18] Alfred V. Aho,et al. The Design and Analysis of Computer Algorithms , 1974 .
[19] David A. Landgrebe,et al. The decision tree approach to classification , 1975 .
[20] Keinosuke Fukunaga,et al. A Branch and Bound Algorithm for Computing k-Nearest Neighbors , 1975, IEEE Transactions on Computers.
[21] R. Haralick. The table look-up rule , 1976 .
[22] L. Bartolucci,et al. Selective Radiant Temperature Mapping Using a Layered Classifier , 1977, IEEE Transactions on Geoscience Electronics.
[23] Ashok Vasant Kulkarni. Optimal and Heuristic Synthesis of Hierarchical Classifiers. , 1976 .
[24] Ronald L. Rivest,et al. Constructing Optimal Binary Decision Trees is NP-Complete , 1976, Inf. Process. Lett..
[25] Ishwar K. Sethi,et al. Efficient decision tree design for discrete variable pattern recognition problems , 1977, Pattern Recognition.
[26] Philip H. Swain,et al. Purdue e-Pubs , 2022 .
[27] Theodosios Pavlidis,et al. Fuzzy Decision Tree Algorithms , 1977, IEEE Transactions on Systems, Man, and Cybernetics.
[28] Jerome H. Friedman,et al. A Recursive Partitioning Decision Rule for Nonparametric Classification , 1977, IEEE Transactions on Computers.
[29] William S. Meisel,et al. An Algorithm for Constructing Optimal Binary Decision Trees , 1977, IEEE Transactions on Computers.
[30] Donald E. Knuth,et al. The art of computer programming: V.1.: Fundamental algorithms , 1997 .
[31] Ashok V. Kulkarni. On the Mean Accuracy of Hierarchical Classifiers , 1978, IEEE Transactions on Computers.
[32] Laveen N. Kanal,et al. Problem-Solving Models and Search Strategies for Pattern Recognition , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] E. M. Rounds. A combined nonparametric approach to feature selection and binary decision tree design , 1980, Pattern Recognit..
[34] Satosi Watanabe,et al. Pattern Recognition as Conceptual Morphogenesis , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] King-Sun Fu,et al. Automated classification of nucleated blood cells using a binary tree classifier , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] G. R. Dattatreya,et al. Bayesian and Decision Tree Approaches for Pattern Recognition Including Feature Measurement Costs , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] Satosi Watanabe,et al. Pattern recognition as a quest for minimum entropy , 1981, Pattern Recognit..
[38] I. K. Sethi,et al. Hierarchical Classifier Design Using Mutual Information , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Roland T. Chin,et al. An Automated Approach to the Design of Decision Tree Classifiers , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Pramod K. Varshney,et al. Application of information theory to the construction of efficient decision trees , 1982, IEEE Trans. Inf. Theory.
[41] Saul Brian Gelfand. A nonparametric multiclass partitioning method for classification , 1982 .
[42] King-Sun Fu,et al. A method for the design of binary tree classifiers , 1983, Pattern Recognit..
[43] G. H. Landeweerd,et al. Binary tree versus single level tree classification of white blood cells , 1983, Pattern Recognit..
[44] Marek W. Kurzyski. Decision rules for a hierarchical classifier , 1983 .
[45] King-Sun Fu,et al. Automatic classification of cervical cells using a binary tree classifier , 1983, Pattern Recognition.
[46] Marek W. Kurzysnki. The optimal strategy of a tree classifier , 1983, Pattern Recognit..
[47] Ching Y. Suen,et al. Application of a Multilayer Decision Tree in Computer Recognition of Chinese Characters , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[48] Marek Kurzynski,et al. Decision rules for a hierarchical classifier , 1983, Pattern Recognit. Lett..
[49] Ching Y. Suen,et al. Analysis and Design of a Decision Tree Based on Entropy Reduction and Its Application to Large Character Set Recognition , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Wolfgang Doster,et al. A decision theoretic approach to hierarchical classifier design , 1984, Pattern Recognit..
[51] Edwin Diday,et al. Learning hierarchical clustering from examples - application to the adaptive construction of dissimilarity indices , 1984, Pattern Recognit. Lett..
[52] Ching Y. Suen,et al. ISOETRP - an interactive clustering algorithm with new objectives , 1984, Pattern Recognit..
[53] George Nagy,et al. Decision tree design using a probabilistic model , 1984, IEEE Trans. Inf. Theory.
[54] J. Skilling,et al. Maximum-entropy and Bayesian methods in inverse problems , 1985 .
[55] C. R. Smith,et al. Maximum-Entropy and Bayesian Methods in Inverse Problems , 1985 .
[56] Xiaobo Li,et al. Tree classifier design with a permutation statistic , 1986, Pattern Recognit..
[57] G. R. Dattatreya,et al. Adaptive Pattern Recognition with Random Costs and Its Application to Decision Trees , 1986, IEEE Transactions on Systems, Man, and Cybernetics.
[58] Jan L. Talmon. A multiclass nonparametric partitioning algorithm , 1986, Pattern Recognit. Lett..
[59] R. Ahlswede,et al. Search Problems , 1987 .
[60] R. Lippmann,et al. An introduction to computing with neural nets , 1987, IEEE ASSP Magazine.
[61] Ching Y. Suen,et al. Large Tree Classifier with Heuristic Search and Global Training , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[62] Padhraic Smyth,et al. Decision tree design from a communication theory standpoint , 1988, IEEE Trans. Inf. Theory.
[63] Philip A. Chou,et al. Optimal pruning with applications to tree-structured source coding and modeling , 1989, IEEE Trans. Inf. Theory.
[64] Ronald L. Rivest,et al. Inferring Decision Trees Using the Minimum Description Length Principle , 1989, Inf. Comput..
[65] Edward J. Delp,et al. An iterative growing and pruning algorithm for classification tree design , 1989, Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics.
[66] Robert J. Marks,et al. Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications , 1989, NIPS.
[67] Ishwar K. Sethi,et al. Comparison between entropy net and decision tree classifiers , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[68] Ronald A. Cole,et al. A performance comparison of trained multilayer perceptrons and trained classification trees , 1990 .
[69] J. Ross Quinlan,et al. Decision trees and decision-making , 1990, IEEE Trans. Syst. Man Cybern..
[70] I. K. Sethi. Layered neural net design through decision trees , 1990, IEEE International Symposium on Circuits and Systems.
[71] M. Golea,et al. A Growth Algorithm for Neural Network Decision Trees , 1990 .
[72] David A. Landgrebe,et al. Hierarchical Classification In High Dimensional, Numerous Class Cases , 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.
[73] Wayne Ieee,et al. Entropy Nets: From Decision Trees to Neural Networks , 1990 .