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Boolean feature discovery in empirical learning

https://doi.org/10.1007/bf00115895
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What this work says

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

inferredcites →https://doi.org/10.1016/0004-3702(88)90002-1openalex-snapshot
Quantifying inductive bias: AI learning algorithms and Valiant's learning framework
inferredcites →https://doi.org/10.1016/0020-0190(87)90114-1openalex-snapshot
Occam's Razor
inferredcites →https://doi.org/10.1016/b978-0-934613-41-5.50037-4openalex-snapshot
Recent Results on Boolean Concept Learning
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50019-0openalex-snapshot
An Empirical Comparison of Genetic and Decision-Tree Classifiers
inferredcites →https://doi.org/10.1016/s0020-7373(87)80053-6openalex-snapshot
Simplifying decision trees
inferredcites →https://doi.org/10.1037/h0093853openalex-snapshot
Cue probabilism and inference behavior.
inferredcites →https://doi.org/10.1145/1968.1972openalex-snapshot
A theory of the learnable

What points at this work

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

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Extracting Information from the Web for Concept Learning and Collaborative Filtering
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Learning with Globally Predictive Tests
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Knowledge acquisition driven by constructive and interactive induction
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Machine learning approach to gate-level Evolvable Hardware
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Application of Deep Neural Networks for Disease Diagnosis Through Medical Data Sets
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ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices
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Providing Justifications for Decisions of Black-Box Models: An Application in Machine Ethics
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Gate-Level Evolvable Hardware: Empirical Study and Application
inferred← citeshttps://doi.org/10.1007/bf00058656openalex-snapshot
Unifying Instance-Based and Rule-Based Induction
inferred← citeshttps://doi.org/10.1007/bf00115299openalex-snapshot
Using the Minimum Description Length Principle to Infer Reduced Ordered Decision Graphs
inferred← citeshttps://doi.org/10.1007/bf00993254openalex-snapshot
The Utility of Knowledge in Inductive Learning
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DEXTER: A System that Experiments with Choices of Training Data Using Expert Knowledge in the Domain of DNA Hydration
inferred← citeshttps://doi.org/10.1007/bf00994005openalex-snapshot
Implementing Valiant's Learnability Theory Using Random Sets
inferred← citeshttps://doi.org/10.1007/bf00994660openalex-snapshot
Multivariate Decision Trees
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Learning with globally predictive tests
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Improving lazy decision tree for imbalanced classification by using skew-insensitive criteria
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ROC ?n? Rule Learning?Towards a Better Understanding of Covering Algorithms
inferred← citeshttps://doi.org/10.1007/s12065-015-0128-8openalex-snapshot
ExSTraCS 2.0: description and evaluation of a scalable learning classifier system
inferred← citeshttps://doi.org/10.1016/b978-1-55860-307-3.50018-6openalex-snapshot
Concept Sharing: A Means to Improve Multi-Concept Learning
inferred← citeshttps://doi.org/10.1016/j.csl.2012.01.009openalex-snapshot
Two-stage phone duration modelling with feature construction and feature vector extension for the needs of speech synthesis
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.105823openalex-snapshot
Feature construction using explanations of individual predictions
inferred← citeshttps://doi.org/10.1016/j.eswa.2019.03.015openalex-snapshot
A multiple feature construction method based on gravitational search algorithm
inferred← citeshttps://doi.org/10.1017/9781108671682openalex-snapshot
The Art of Feature Engineering
inferred← citeshttps://doi.org/10.1017/9781108671682.001openalex-snapshot
Preface
inferred← citeshttps://doi.org/10.1017/9781108671682.002openalex-snapshot
Fundamentals
inferred← citeshttps://doi.org/10.1017/9781108671682.003openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1017/9781108671682.004openalex-snapshot
Features, Combined: Normalization, Discretization and Outliers
inferred← citeshttps://doi.org/10.1017/9781108671682.005openalex-snapshot
Features, Expanded: Computable Features, Imputation and Kernels
inferred← citeshttps://doi.org/10.1017/9781108671682.006openalex-snapshot
Features, Reduced: Feature Selection, Dimensionality Reduction and Embeddings
inferred← citeshttps://doi.org/10.1017/9781108671682.007openalex-snapshot
Advanced Topics: Variable-Length Data and Automated Feature Engineering
inferred← citeshttps://doi.org/10.1017/9781108671682.008openalex-snapshot
Case Studies
inferred← citeshttps://doi.org/10.1017/9781108671682.009openalex-snapshot
Graph Data
inferred← citeshttps://doi.org/10.1017/9781108671682.010openalex-snapshot
Time stamped Data
inferred← citeshttps://doi.org/10.1017/9781108671682.011openalex-snapshot
Textual Data
inferred← citeshttps://doi.org/10.1017/9781108671682.012openalex-snapshot
Image Data
inferred← citeshttps://doi.org/10.1017/9781108671682.013openalex-snapshot
Other Domains: Video, GIS and Preferences
inferred← citeshttps://doi.org/10.1017/9781108671682.014openalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1017/9781108671682.015openalex-snapshot
Index
inferred← citeshttps://doi.org/10.1023/a:1007324100110openalex-snapshot
A “Microscopic” Study of Minimum Entropy Search in Learning Decomposable Markov Networks
inferred← citeshttps://doi.org/10.1023/a:1007329424533openalex-snapshot
Pruning Algorithms for Rule Learning
inferred← citeshttps://doi.org/10.1023/a:1007421315813openalex-snapshot
Learning from Examples and Membership Queries with Structured Determinations
inferred← citeshttps://doi.org/10.1023/a:1007567018844openalex-snapshot
Concept Learning and Feature Selection Based on Square-Error Clustering
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Constructing X-of-N Attributes for Decision Tree Learning
inferred← citeshttps://doi.org/10.1023/a:1014046307775openalex-snapshot
Feature Generation Using General Constructor Functions
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Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments
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Learning from Cluster Examples
inferred← citeshttps://doi.org/10.1023/b:mach.0000008085.22487.a6openalex-snapshot
ART: A Hybrid Classification Model
inferred← citeshttps://doi.org/10.1023/b:mach.0000019803.57720.7bopenalex-snapshot
Classification Using Φ-Machines and Constructive Function Approximation
inferred← citeshttps://doi.org/10.1037/rev0000563openalex-snapshot
Simplicity and complexity of probabilistically defined concepts.
inferred← citeshttps://doi.org/10.1080/10106049.2019.1678680openalex-snapshot
Two hidden layer neural network-based rotation forest ensemble for hyperspectral image classification
inferred← citeshttps://doi.org/10.1145/3357713.3384241openalex-snapshot
Decision List Compression by Mild Random Restrictions
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Analytical Features: A Knowledge-Based Approach to Audio Feature Generation
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USO DE ÁRVORES DE DECISÃO NA GERAÇÃO DE HIPÓTESES INDUTIVAS EM APRENDIZADO DE MÁQUINA
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Ampliando os limites do aprendizado indutivo de máquina através das abordagens construtiva e relacional
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Disjunctive Rule Lists
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Dimensionality Reduction for Probabilistic Neural Network in Medical Data Classification Problems
inferred← citeshttps://doi.org/10.1609/aaai.v32i1.11678openalex-snapshot
Feature Engineering for Predictive Modeling Using Reinforcement Learning
inferred← citeshttps://doi.org/10.1613/jair.129openalex-snapshot
Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach
inferred← citeshttps://doi.org/10.1613/jair.2669openalex-snapshot
Wikipedia-based Semantic Interpretation for Natural Language Processing
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A System for Induction of Oblique Decision Trees
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Leveraging big data to forecast short-term hospital resource demand
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Knowledge-based Systems and Interestingness Measures: Analysis with Clinical datasets
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Using Conjunction of Attribute Values for Classification
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A Brief History of Learning Symbolic Higher-Level Representations from Data (And a Curious Look Forward)
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Learning Horn-Clauses as Classification Rules for Relations.
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Improving acute kidney injury detection with conditional probabilities
inferred← citeshttps://doi.org/10.32920/ryerson.14663142openalex-snapshot
Real-time data mining for multimedia streaming
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Real-time data mining for multimedia streaming
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A Decision Tree Classification Algorithm Based on Two-Term RS-Entropy
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A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams
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Increasing the performance and realism of procedurally generated buildings
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Construção automatica de teoria em grafos
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Techniques of Data Mining In Healthcare: A Review
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Explaining Individuals’ Usage of Social Commerce: A Data Mining Approach
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On-the-fly synthesizer programming with rule learning
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Interpretable Algorithms for Regression : Theory and Applications
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