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Natural Induction and Conceptual Clustering: A Review of Applications

https://doi.org/10.13021/mars/3601
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-33521-8_27openalex-snapshot
Learning Symbolic User Models for Intrusion Detection: A Method and Initial Results
inferredcites →https://doi.org/10.1007/3-540-44673-7_2openalex-snapshot
Learning Patterns in Noisy Data: The AQ Approach
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_11openalex-snapshot
Learning from Observation: Conceptual Clustering
inferredcites →https://doi.org/10.1007/bf00116835openalex-snapshot
The CN2 Induction Algorithm
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50023-2openalex-snapshot
Fast Effective Rule Induction
inferredcites →https://doi.org/10.1023/a:1007677805582openalex-snapshot
LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning
inferredcites →https://doi.org/10.1038/ng731openalex-snapshot
Expression profiling of medulloblastoma: PDGFRA and the RAS/MAPK pathway as therapeutic targets for metastatic disease
inferredcites →https://doi.org/10.1080/10789669.2004.10391099openalex-snapshot
An Optimized Design of Finned-Tube Evaporators Using the Learnable Evolution Model
inferredcites →https://doi.org/10.1109/mis.2005.93openalex-snapshot
Rule + Exception Strategies for Security Information Analysis
inferredcites →https://doi.org/10.1109/tpami.1983.4767409openalex-snapshot
Automated Construction of Classifications: Conceptual Clustering Versus Numerical Taxonomy
inferredcites →https://doi.org/10.1145/1143997.1144197openalex-snapshot
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
inferredcites →https://doi.org/10.13021/mars/3331openalex-snapshot
The LEM3 System for Non-Darwinian Evolutionary Computation and Its Application to Complex Function Optimization
inferredcites →https://doi.org/10.13021/mars/3342openalex-snapshot
Multitype Pattern Discovery Via AQ21: A Brief Description of the Method and Its Novel Features
inferredcites →https://doi.org/10.13021/mars/3407openalex-snapshot
Attributional Calculus: A Logic and Representation Language for Natural Induction
inferredcites →https://doi.org/10.13021/mars/3409openalex-snapshot
Learning User Models for Computer Intrusion Detection: Preliminary Results from Natural Induction Approach
inferredcites →https://doi.org/10.13021/mars/3527openalex-snapshot
Attributional Ruletrees: A New Representation for AQ Learning
inferredcites →https://doi.org/10.13021/mars/3575openalex-snapshot
A Variable-Valued Logic System as Applied to Picture Description and Recognition
inferredcites →https://doi.org/10.1617/2912143780.018openalex-snapshot
Artificial intelligence methods and analysis of structure in evaluation of hardened concrete quality
inferredcites →https://doi.org/10.2495/data060091openalex-snapshot
The CLUSTER3 system for goal-oriented conceptual clustering: method and preliminary results

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Automatic Diagnosis of Melanoid Skin Lesions Using Machine Learning Methods
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Computational Classification of Melanocytic Skin Lesions
inferred← citeshttps://doi.org/10.1007/978-3-540-73451-2_5openalex-snapshot
Generalizing Data in Natural Language
inferred← citeshttps://doi.org/10.1007/978-3-642-03202-8_12openalex-snapshot
Machine Learning of Melanocytic Skin Lesion Images
inferred← citeshttps://doi.org/10.1007/978-3-642-05177-7_1openalex-snapshot
Ryszard S. Michalski: The Vision and Evolution of Machine Learning
inferred← citeshttps://doi.org/10.1016/j.cogsys.2007.01.001openalex-snapshot
Computational models of inductive reasoning using a statistical analysis of a Japanese corpus
inferred← citeshttps://doi.org/10.1109/access.2020.2980581openalex-snapshot
An Explainable Artificial Intelligence Model for Clustering Numerical Databases
inferred← citeshttps://doi.org/10.1109/iembs.2007.4352994openalex-snapshot
Different Learning Paradigms for the Classification of Melanoid Skin Lesions Using Wavelets
inferred← citeshttps://doi.org/10.1109/iembs.2010.5627337openalex-snapshot
Symbolic learning supporting early diagnosis of melanoma
inferred← citeshttps://doi.org/10.1109/ijcnn.2008.4634165openalex-snapshot
Inductive learning of skin lesion images for early diagnosis of melanoma
inferred← citeshttps://doi.org/10.3233/ida-150783openalex-snapshot
Mining patterns for clustering using unsupervised decision trees
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A novel rule generator for intrusion detection based on frequent subgraph mining
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