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Inductive learning: Algorithms and frontiers

https://doi.org/10.1007/bf00849079
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What this work says

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

inferredcites →https://doi.org/10.1007/11434.1861-9541openalex-snapshot
Chinese Science Bulletin
inferredcites →https://doi.org/10.1007/bf00114778openalex-snapshot
The use of background knowledge in decision tree induction
inferredcites →https://doi.org/10.1007/bf00991183openalex-snapshot
AE1: An extension matrix approximate method for the general covering problem
inferredcites →https://doi.org/10.1007/bf02943537openalex-snapshot
A new attribute-based learning algorithm GS and a comparison with existing algorithms
inferredcites →https://doi.org/10.1016/0143-6236(84)90019-xopenalex-snapshot
Introductory readings in expert systems
inferredcites →https://doi.org/10.1016/0305-0548(93)90050-sopenalex-snapshot
Introduction to expert systems
inferredcites →https://doi.org/10.1016/0377-2217(85)90321-2openalex-snapshot
Classification and regression trees
inferredcites →https://doi.org/10.1016/0378-4754(80)90023-3openalex-snapshot
Computer science and multiple-valued logic: Theory and applications
inferredcites →https://doi.org/10.1016/b978-0-7204-0406-7.50022-3openalex-snapshot
variable-valued logic and its applications to pattern recognition and machine learning
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50015-3openalex-snapshot
Experiments on the Costs and Benefits of Windowing in ID3
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50121-1openalex-snapshot
A CONSTRUCTIVE INDUCTION FRAMEWORK
inferredcites →https://doi.org/10.1016/c2009-0-27539-8openalex-snapshot
Proceedings of the Sixth International Workshop on Machine Learning
inferredcites →https://doi.org/10.1016/s0004-3702(83)80005-8openalex-snapshot
Eurisko: A program that learns new heuristics and domain concepts
inferredcites →https://doi.org/10.1016/s0020-7373(87)80053-6openalex-snapshot
Simplifying decision trees
inferredcites →https://doi.org/10.1023/a:1022609710832openalex-snapshot
The Use of Background Knowledge in Decision Tree Induction
inferredcites →https://doi.org/10.1023/a:1022699900025openalex-snapshot
Incremental Induction of Decision Trees
inferredcites →https://doi.org/10.1109/64.108949openalex-snapshot
Knowledge acquisition from structured data: using determinate literals to assist search
inferredcites →https://doi.org/10.1117/12.964180openalex-snapshot
An Extension Matrix Approach To The General Covering Problem
inferredcites →https://doi.org/10.13021/mars/3357openalex-snapshot
The AQ15 Inductive Learning System: An Overview and Experiments
inferredcites →https://doi.org/10.13021/mars/3524openalex-snapshot
AQ15: Incremental Learning of Attribute-Based Descriptions from Examples: The Method and User's Guide
inferredcites →https://doi.org/10.13021/mars/3563openalex-snapshot
Selection of Most Representative Training Examples and Incremental Generation of VL1 Hypotheses: The Underlying Methodology and the Description of Programs ESEL and AQ11
inferredcites →https://doi.org/10.2307/1421207openalex-snapshot
Experiments in Induction
inferredcites →https://doi.org/10.2307/2288003openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.4018/978-1-59140-557-3.ch027openalex-snapshot
Classification and Regression Trees

What points at this work

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

inferred← citeshttps://doi.org/10.1002/(sici)1097-4571(19980415)49:5<435::aid-asi6>3.0.co;2-ropenalex-snapshot
Rule induction with extension matrices
inferred← citeshttps://doi.org/10.1007/978-3-540-27778-1_3openalex-snapshot
Incremental versus Non-incremental Rule Induction for Multicriteria Classification
inferred← citeshttps://doi.org/10.1080/019697298125786openalex-snapshot
LEARNING DESIGN KNOWLEDGE AS GENERALIZATION
inferred← citeshttps://doi.org/10.1109/34.730553openalex-snapshot
RIEVL: recursive induction learning in hand gesture recognition
inferred← citeshttps://doi.org/10.1109/csa.2013.52openalex-snapshot
An Algorithm for Approximating Set Cover and Its Application on Logic Circuit Optimization
inferred← citeshttps://doi.org/10.1109/icbbe.2007.68openalex-snapshot
The Construction of Minimal Set-Covering Model for TagSNP Selection Problem and Heuristic Function Algorithm
inferred← citeshttps://doi.org/10.1109/isdea.2010.226openalex-snapshot
Weighted Naive Bayesian Classifier Model Based on Information Gain
inferred← citeshttps://doi.org/10.1109/tai.1995.479514openalex-snapshot
Noise handling with extension matrices
inferred← citeshttps://doi.org/10.1109/tcad.2022.3202430openalex-snapshot
Data-Driven Reliability Models of Quantum Circuit: From Traditional ML to Graph Neural Network
inferred← citeshttps://doi.org/10.1145/170791.170825openalex-snapshot
The HCV induction algorithm
inferred← citeshttps://doi.org/10.1609/aimag.v21i3.1524openalex-snapshot
Building Intelligent Learning Database Systems
inferred← citeshttps://doi.org/10.3390/mca13010051openalex-snapshot
A Review of Rules Family of Algorithms
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