On the public citation graph

Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning

https://doi.org/10.1007/bf00993482
0 signed · 69 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4613-1557-5openalex-snapshot
Incremental Version-Space Merging: A General Framework for Concept Learning
inferredcites →https://doi.org/10.1007/978-3-662-12405-5openalex-snapshot
Machine Learning
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_4openalex-snapshot
A Theory and Methodology of Inductive Learning
inferredcites →https://doi.org/10.1007/bf00114116openalex-snapshot
Explanation-Based Learning: An Alternative View
inferredcites →https://doi.org/10.1007/bf00114160openalex-snapshot
Symbolic and Neural Learning Algorithms: An Experimental Comparison
inferredcites →https://doi.org/10.1007/bf00114265openalex-snapshot
Knowledge Acquisition Via Incremental Conceptual Clustering
inferredcites →https://doi.org/10.1007/bf00115008openalex-snapshot
Machine Learning as an Experimental Science
inferredcites →https://doi.org/10.1007/bf00115010openalex-snapshot
Learning by Failing to Explain: Using Partial Explanations to Learn in Incomplete or Intractable Domains
inferredcites →https://doi.org/10.1007/bf00116250openalex-snapshot
Explanation-based generalization: A unifying view
inferredcites →https://doi.org/10.1007/bf00116251openalex-snapshot
Induction of Decision Trees
inferredcites →https://doi.org/10.1007/bf00117105openalex-snapshot
Learning Logical Definitions from Relations
inferredcites →https://doi.org/10.1007/bf00993505openalex-snapshot
Creating a memory of causal relationships, by Michael Pazzani, Hillsdale, NJ: Lawrence Erlbaum, 1990
inferredcites →https://doi.org/10.1007/bfb0017226openalex-snapshot
Knowledge base refinement using apprenticeship learning techniques
inferredcites →https://doi.org/10.1016/0004-3702(83)90016-4openalex-snapshot
A theory and methodology of inductive learning
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/10.1016/0004-3702(90)90041-wopenalex-snapshot
Concept learning and heuristic classification in weak-theory domains
inferredcites →https://doi.org/10.1016/0743-1066(84)90014-1openalex-snapshot
Linear-time algorithms for testing the satisfiability of propositional horn formulae
inferredcites →https://doi.org/10.1016/0890-5401(89)90002-3openalex-snapshot
A general lower bound on the number of examples needed for learning
inferredcites →https://doi.org/10.1016/b978-0-86576-091-2.50009-5openalex-snapshot
Learning and Inductive Inference
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/b978-0-934613-64-4.50037-2openalex-snapshot
A KNOWLEDGE INTENSIVE APPROACH TO CONCEPT INDUCTION
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50040-2openalex-snapshot
Machine Invention of First-order Predicates by Inverting Resolution
inferredcites →https://doi.org/10.1016/b978-1-4832-1446-7.50034-0openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50014-xopenalex-snapshot
FINDING NEW RULES FOR INCOMPLETE THEORIES: EXPLICIT BIASES FOR INDUCTION WITH CONTEXTUAL INFORMATION
inferredcites →https://doi.org/10.1016/b978-1-55860-141-3.50044-4openalex-snapshot
Average Case Analysis of Conjunctive Learning Algorithms
inferredcites →https://doi.org/10.1016/c2013-0-07691-8openalex-snapshot
The Handbook of Artificial Intelligence
inferredcites →https://doi.org/10.1016/s0019-9958(67)91165-5openalex-snapshot
Language identification in the limit
inferredcites →https://doi.org/10.1016/s0364-0213(86)80005-2openalex-snapshot
Integrated Learning: Controlling Explanation
inferredcites →https://doi.org/10.1016/s0364-0213(87)80009-5openalex-snapshot
Constraints and Preferences in Inductive Learning: An Experimental Study of Human and Machine Performance
inferredcites →https://doi.org/10.1023/a:1022604100933openalex-snapshot
An Empirical Comparison of Pruning Methods for Decision Tree Induction
inferredcites →https://doi.org/10.1023/a:1022652016863openalex-snapshot
A Study of Explanation-Based Methods for Inductive Learning
inferredcites →https://doi.org/10.1023/a:1022689616458openalex-snapshot
Toward a Unified Science of Machine Learning
inferredcites →https://doi.org/10.1023/a:1022691120807openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1023/a:1022699900025openalex-snapshot
Incremental Induction of Decision Trees
inferredcites →https://doi.org/10.1037//0033-295x.92.3.289openalex-snapshot
The role of theories in conceptual coherence.
inferredcites →https://doi.org/10.1145/1968.1972openalex-snapshot
A theory of the learnable
inferredcites →https://doi.org/10.1145/3749740.3749746openalex-snapshot
A Theory of the Learnable
inferredcites →https://doi.org/10.1184/r1/6606830openalex-snapshot
Learning by chunking : a production-system model of practice
inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.21236/ada248064openalex-snapshot
Concept Learning and Heuristic Classification in Weak-Theory Domains
inferredcites →https://doi.org/10.4324/9780203763049openalex-snapshot
Creating A Memory of Causal Relationships
inferredcites →https://doi.org/10.5555/93025.93068openalex-snapshot
A general lower bound on the number of examples needed for learning
inferredcites →https://doi.org/10.7551/mitpress/3314.003.0008openalex-snapshot
Quantitative Results Concerning the Utility of Explanation-Based Learning
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing
inferredcites →https://doi.org/10.7551/mitpress/5605.001.0001openalex-snapshot
Production System Models of Learning and Development
inferredcites →https://doi.org/10.7551/mitpress/5605.003.0007openalex-snapshot
Learning by Chunking: A Production System Model of Practice

What points at this work

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

inferred← citeshttps://doi.org/10.1002/0471214426.pas0211openalex-snapshot
Concepts and Categorization
inferred← citeshttps://doi.org/10.1007/11552253_9openalex-snapshot
Searching for Meaningful Feature Interactions with Backward-Chaining Rule Induction
inferred← citeshttps://doi.org/10.1007/3-540-32394-5_10openalex-snapshot
Content Annotation for the Semantic Web
inferred← citeshttps://doi.org/10.1007/3-540-57868-4_53openalex-snapshot
Inductive learning of characteristic concept descriptions from small sets of classified examples
inferred← citeshttps://doi.org/10.1007/978-94-011-5430-7_10openalex-snapshot
Mixture Modeling to Incorporate Meaningful Constraints into Learning
inferred← citeshttps://doi.org/10.1007/bf00213185openalex-snapshot
INSTRUCT: Modeling students by asking questions
inferred← citeshttps://doi.org/10.1007/bf00871824openalex-snapshot
Inductive specification recovery: Understanding software by learning from example behaviors
inferred← citeshttps://doi.org/10.1016/b978-0-12-822116-7.00002-1openalex-snapshot
State of the art
inferred← citeshttps://doi.org/10.1016/b978-0-12-822116-7.00005-7openalex-snapshot
State of the art
inferred← citeshttps://doi.org/10.1016/b978-1-55860-335-6.50011-8openalex-snapshot
Improving Accuracy of Incorrect Domain Theories
inferred← citeshttps://doi.org/10.1016/b978-1-55860-377-6.50031-1openalex-snapshot
Lessons from Theory Revision Applied to Constructive Induction
inferred← citeshttps://doi.org/10.1016/s0079-7421(08)60140-1openalex-snapshot
Integrating Theory and Data in Category Learning
inferred← citeshttps://doi.org/10.1080/08839510500313711openalex-snapshot
INFERRING AND REVISING THEORIES WITH CONFIDENCE: ANALYZING BILINGUALISM IN THE 1901 CANADIAN CENSUS
inferred← citeshttps://doi.org/10.1080/08839519408945431openalex-snapshot
CAN MACHINE LEARNING SOLVE MY PROBLEM?
inferred← citeshttps://doi.org/10.1080/10447319509526132openalex-snapshot
Interactive reconstructive student modeling: A machine‐learning approach
inferred← citeshttps://doi.org/10.1177/117693510700300016openalex-snapshot
Data Mining for Gene Networks Relevant to Poor Prognosis in Lung Cancer via Backward-Chaining Rule Induction
inferred← citeshttps://doi.org/10.1613/jair.129openalex-snapshot
Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach
inferred← citeshttps://doi.org/10.20381/ruor-20531openalex-snapshot
Inferring and Revising Theories with Confidence: Analyzing the 1901 Canadian Census
inferred← citeshttps://doi.org/10.3115/1067737.1067772openalex-snapshot
The multilingual named entity recognition framework
inferred← citeshttps://doi.org/10.3115/1117601.1117622openalex-snapshot
ALLiS
inferred← citeshttps://doi.org/10.3115/1117822.1117838openalex-snapshot
Using ALLiS for clausing
inferred← citeshttps://doi.org/10.3115/990820.990854openalex-snapshot
Theory refinement and Natural Language Learning
inferred← citeshttps://doi.org/10.3233/ida-2006-10502openalex-snapshot
Backward chaining rule induction
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.