On the Quasi-Minimal Solution of the General Covering Problem

Cited by (231)

Items 101–200 of 231

1. Learning symbolic descriptions of shape for object recognition in X-ray images
   Marcus A. Maloof, Ryszard S. Michalski · 1997 · Expert Systems with Applications
2. Scaling up classification rule induction through parallel processing
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3. RULES - TL: A SIMPLE AND IMPROVED RULES ALGORITHM FOR INCOMPLETE AND LARGE DATA
   Hebah ElGibreen · 2013
4. Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins
   Gisele Lobo Pappa, Alex Alves Freitas · 2009 · Intelligent Data Analysis
5. Rule-Based Prediction of Medical Claims' Payments: A Method and Initial Application to Medicaid Data
   Janusz Wojtusiak, Che G. Ngufor, J. Shiver, R. Ewald · 2011 · International Conference on Machine Learning and Applications
6. A rule merging technique for handling noise in inductive learning
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7. Local Search and the Evolution of World Models
   Neil R Bramley, Bonan Zhao, Tadeg Quillien, Christopher G. Lucas · 2023 · Topics in Cognitive Science
8. Multi-Objective Evolutionary Rule-Based Classification with Categorical Data
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9. Contribution to Decision Tree Induction with Python: A Review
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10. Reasoning with unknown, not-applicable and irrelevant meta-values in concept learning and pattern discovery
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11. Induction of Modular Classification Rules: Using Jmax-pruning
    Frederic Theodor Stahl, Max Bramer · 2010 · Springer eBooks
12. Using bioinformatics to analyse germplasm collections
    Guy F. Davenport, Noel Ellis, Mike J Ambrose, Jo L. Dicks · 2004 · Euphytica
13. Initial Experiments with the LEM1 Learnable Evolution Model: An Application to Function Optimization and Evolvable Hardware
    Ryszard S. Michalski, Qi Zhang · 1999
14. A Partial Memory Incremental Learning Methodology and its Application to Computer Intrusion Detection
    Marcus A. Maloof, Ryszard S. Michalski · 1995
15. Supervised Learning: Decision Trees, Rule Algorithms, and Their Hybrids
    Krzysztof J. Cios, Roman W. Świniarski, Witold Pedrycz, Lukasz Kurgan · 2007 · Springer eBooks
16. Hyper-rectangle-based discriminative data generalization and applications in data mining
    Byron J. Gao · 2006 · Summit (Simon Fraser University)
17. The Design and Implementation of a Computer-Assisted Learning Expert System
    Yao-Tsung Lin, Shian‐Shyong Tseng, Chang-Jiun Tsai · 2002 · International Journal of Computer Processing Of Languages
18. Genetic rule induction at an intermediate level
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19. Generating Alternative Hypotheses in AQ Learning
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20. RULES-IT: incremental transfer learning with RULES family
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21. Parallel Rule Induction with Information Theoretic Pre-Pruning
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22. Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator
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23. Design and analysis of scalable rule induction systems
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24. A novel rule induction algorithm with improvedhandling of continuous valued attributes
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25. A Modular Approach to Multiple Faults Diagnosis
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26. From Decision Trees to Explained Decision Sets
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27. Supervised Classification Problems–Taxonomy of Dimensions and Notation for Problems Identification
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28. A General Framework for Induction of Decision Trees under Uncertainty
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29. Learning compositional decision rules using the KEX algorithm
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30. A brain tumor diagnostic system with automatic learning abilities
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31. Learning about systems that contain state variables
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32. Cardio-ML: Detection of malicious clinical programmings aimed at cardiac implantable electronic devices based on machine learning and a missing values resemblance framework
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33. Rule Learning in Healthcare and Health Services Research
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34. Handling constrained optimization problems and using constructive induction to improve representation spaces in learnable evolution model
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35. A Generic Framework for Rule-Based Classification
    Arnaud Giacometti, Eynollah Khanjari Miyaneh, Patrick Marcel, Arnaud Soulet · 2008
36. A machine learning based approach to manufacturing process planning
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37. Generation of Diagnostic Rules via Inductive Machine Learning
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38. Learning classification rules with genetic algorithm
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39. A Fast Partial Memory Approach to Incremental Learning through an Advanced Data Storage Framework.
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40. A Comparison of Rule and Exemplar-Based Learning Systems
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41. Chipper - A Novel Algorithm for Concept Description
    Ulf Johansson, Cecilia Sönströd, Henrik Boström, Tuve Löfström · 2008 · Borås Academic Digital Archive (University of Borås)
42. On the Stability of Example-Driven Learning Systems: A Case Study in Multirelational Learning
    Lourdes Peña‐Castillo, Stefan Wrobel · 2002 · Lecture notes in computer science
43. Temporal Pattern Mining in Dynamic Environments
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44. A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams
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45. Graph embedded rules for explainable predictions in data streams
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46. Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
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47. Predicting the Next State of Traffic by Data Mining Classification Techniques
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48. A probabilistic inductive learning approach to the acquisition of knowledge in medical expert systems
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49. Concept Learning of Text Documents
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50. Rule Learning
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51. Improving rule-based classifiers by Bayes point aggregation
    Luca Bergamin, Mirko Polato, Fabio Aiolli · 2024 · Neurocomputing
52. Iterative Optimization of Rule Sets
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53. Cascade of Boolean detector combinations
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54. Predicting Page Occurrence in a Click-Stream Data: Statistical and Rule-Based Approach
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55. The AQ Methods for Concept Drift
    Marcus A. Maloof · 2009 · Studies in computational intelligence
56. Synthesis of irregular combinational functions with large don't care sets
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57. Modeling Pattern Set Mining Using Boolean Circuits
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58. Identifying Decision Lists with the Discrete Function Learning Algorithm
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59. The RULES-4 Incremental InductiveLearning Algorithm
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60. A Simple Machine-Learning Task
    Miroslav Kubát · 2015 · Springer eBooks
61. Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski
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62. Ryszard S. Michalski: The Vision and Evolution of Machine Learning
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63. A fuzzy inductive learning algorithm for parallel loop scheduling
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64. Intelligent Image Prefetching for Supporting Radiologists' Primary Reading: A Decision-Rule Inductive Learning Approach
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65. A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network
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66. Alternative strategies for decision list construction
    Douglas Newlands, Geoffrey I. Webb · 2003 · Deakin Research Online (Deakin University)
67. New rule induction algorithms with improved noise tolerance and scalability
    Khurram Shehzad · 2009 · ORCA Online Research @Cardiff (Cardiff University)
68. Induction of control rules from human skill
    K.J. Hunt, Y.M. Han · 1992 · Annual Review in Automatic Programming
69. Learning Descriptions of 2D Blob-Like Shapes for Object Recognition in X-Ray Images: An Initial Study
    Marcus A. Maloof, Ryszard S. Michalski · 1994
70. Data Mining Driven Learning Apprentice System For Medical Billing Compliance
    Umair Abdullah · 2012 · HEC National Digital Library
71. Concept Learning of Text Documents
    Jiyuan An, Yi‐Ping Phoebe Chen · 2005 · IEEE/WIC/ACM International Conference on Web Intelligence
72. Rule Inducted Models for Classifying Water Quality Using Diatoms as Bio-indicators
    Andreja Naumoski, Kosta Mitreski · 2009 · International Conference on Environmental and Computer Science
73. Adapting explainable Decision Sets to Continuous-based Real-World Problems
    Yi Liu, Ying Bi, Yu Juan Cui, Chengyuan Zhu, Wen Ming Cheng, Mingkai Sheng, Yiding Zhang · 2024 · International Symposium on Autonomous Systems (ISAS)
74. Beam Search in Incremental Rule Learning.
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75. Evolutionary Computing for Expressive Music Performance
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76. Concept learning by example decomposition
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77. Improving classification with boundary instances multiplier algorithm based on IF-THEN rules
    Maria Viorela Muntean, Ioan Ileană, Honoriu Vălean · 2012 · IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)
78. Incremental transfer RULES with incomplete data
    Hebah ElGibreen, Mehmet Sabih Aksoy · 2014 · IEEE Symposium on Computational Intelligence and Data Mining (CIDM)
79. SILEA: A system for inductive LEArning
    Ahmet Aksoy, Mehmet Hadi Güneş · 2016 · International Conference on Information, Intelligence, Systems & Applications (IISA)
80. Ambitions and Goals of Machine Learning
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81. Machine Learning
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82. Information extraction for Chinese free text based on pattern match combine with heuristic information
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83. In-Database Rule Learning Under Uncertainty: A Variable Precision Rough Set Approach
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84. An Adaptive Algorithm for Rule Learning: Case Study and Preliminary Results
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85. A Simple Machine-Learning Task
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86. Probabilistic Incremental Rule Learning.
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87. Yet Another Induction Algorithm
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88. Rule Induction for Click-Stream Analysis: Set Covering and Compositional Approach
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89. Specialization models for a general fuzzy set covering framework
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90. Analysis of the Effectiveness of Machine Learning in Determining Decision Rules for Executive Compensation Planning
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91. Knowledge Reduction and Discovery based on Demarcation Information
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92. Extração de conhecimento de redes neurais artificiais.
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93. Inductive learning approach to intelligent patient image pre-fetching: extension and evaluation of CN2 algorithm
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94. A Multistrategy Learning Approach to Flexible Knowledge Organization and Discovery
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95. Simple low cost causal discovery using mutual information and domain knowledge
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96. Detecção de fraudes em cartões: um classificador baseado em regras de associação e regressão logística
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97. Editorial
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98. Knowledge discovery in databases with joint decision outcomes: a decision-tree induction approach
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99. Rule Induction of Physical-Chemical Water Property from Diatoms Community
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100. Margin Driven Separate and Conquer by Working Set Expansion
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