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Quantifying Prior Determination Knowledge Using the PAC Learning Model

https://doi.org/10.1007/bf00993865
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What this work says

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

inferredcites →https://doi.org/10.1007/3-540-56483-7_21openalex-snapshot
Cryptographic limitations on learning Boolean formulae and finite automata
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Incremental Version-Space Merging: A General Framework for Concept Learning
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A Sketch of Autonomous Learning using Declarative Bias
inferredcites →https://doi.org/10.1007/978-94-015-7811-0_11openalex-snapshot
Determination, Uniformity, and Relevance: Normative Criteria for Generalization and Reasoning by Analogy
inferredcites →https://doi.org/10.1007/bf00058680openalex-snapshot
Learning Decision Lists
inferredcites →https://doi.org/10.1007/bf00114116openalex-snapshot
Explanation-Based Learning: An Alternative View
inferredcites →https://doi.org/10.1007/bf00114804openalex-snapshot
On Learning Sets and Functions
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/bf00116828openalex-snapshot
Queries and Concept Learning
inferredcites →https://doi.org/10.1007/bf00993254openalex-snapshot
The Utility of Knowledge in Inductive Learning
inferredcites →https://doi.org/10.1016/0004-3702(85)90012-8openalex-snapshot
Macro-operators: A weak method for 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/10.1016/0022-0000(90)90028-jopenalex-snapshot
Prediction-preserving reducibility
inferredcites →https://doi.org/10.1016/b978-0-08-051489-5.50008-4openalex-snapshot
BAYESIAN INFERENCE
inferredcites →https://doi.org/10.1016/b978-0-934613-41-5.50042-8openalex-snapshot
Analogy and Single-Instance Generalization
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50030-xopenalex-snapshot
On the Tractability of Learning from Incomplete Theories
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50046-3openalex-snapshot
Two New Frameworks for Learning
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/b978-1-55860-036-2.50039-4openalex-snapshot
LIMITATIONS ON INDUCTIVE LEARNING
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50084-9openalex-snapshot
USING DETERMINATIONS IN EBL: A SOLUTION TO THE INCOMPLETE THEORY PROBLEM
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50101-xopenalex-snapshot
Probabilistic Evaluation of Bias for Learning Systems
inferredcites →https://doi.org/10.1016/b978-1-55860-307-3.50048-4openalex-snapshot
Learning from Queries and Examples with Tree-structured Bias
inferredcites →https://doi.org/10.1023/a:1022691120807openalex-snapshot
Explanation-Based Generalization: A Unifying View
inferredcites →https://doi.org/10.1109/sfcs.1988.21928openalex-snapshot
Predicting (0, 1)-functions on randomly drawn points
inferredcites →https://doi.org/10.11225/jcss.1.2_100openalex-snapshot
Pearl, J. (1988, second printing 1991). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan-Kaufmann.
inferredcites →https://doi.org/10.1145/174644.174647openalex-snapshot
Cryptographic Limitations on Learning Boolean Formulae and Finite Automata
inferredcites →https://doi.org/10.1145/1968.1972openalex-snapshot
A theory of the learnable
inferredcites →https://doi.org/10.1145/28395.28427openalex-snapshot
On learning Boolean functions
inferredcites →https://doi.org/10.1145/3749740.3749746openalex-snapshot
A Theory of the Learnable
inferredcites →https://doi.org/10.1145/48014.63140openalex-snapshot
Computational limitations on learning from examples
inferredcites →https://doi.org/10.1145/73007.73049openalex-snapshot
Crytographic limitations on learning Boolean formulae and finite automata
inferredcites →https://doi.org/10.1145/76359.76371openalex-snapshot
Learnability and the Vapnik-Chervonenkis dimension
inferredcites →https://doi.org/10.4324/9781003471301-15openalex-snapshot
Artificial Intelligence
inferredcites →https://doi.org/10.4324/9781351001885-2openalex-snapshot
Intelligence Without Reason
inferredcites →https://doi.org/10.7551/mitpress/1716.003.0011openalex-snapshot
Intelligence Without Reason

What points at this work

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

inferred← citeshttps://doi.org/10.1007/3-540-46769-6_24openalex-snapshot
Learning Minimal Covers of Functional Dependencies with Queries
inferred← citeshttps://doi.org/10.1007/978-981-95-3678-8_2openalex-snapshot
Theoretical Foundations of Limited-Data SAR ATR
inferred← citeshttps://doi.org/10.1007/s00224-015-9659-8openalex-snapshot
Learning Sets of Antecedent-restricted Functional and Multivalued Dependencies with Queries
inferred← citeshttps://doi.org/10.1007/s00354-015-0301-8openalex-snapshot
Learning an Extension of the Class of Functional Dependencies with Queries
inferred← citeshttps://doi.org/10.1016/j.geoai.2025.100010openalex-snapshot
Few-shot learning of geological cross-sections from sparse data using large language model
inferred← citeshttps://doi.org/10.1016/j.tcs.2011.01.011openalex-snapshot
On learning multivalued dependencies with queries
inferred← citeshttps://doi.org/10.1016/s0004-3702(97)00048-9openalex-snapshot
Knowing what doesn't matter: exploiting the omission of irrelevant data
inferred← citeshttps://doi.org/10.1023/a:1007421315813openalex-snapshot
Learning from Examples and Membership Queries with Structured Determinations
inferred← citeshttps://doi.org/10.1109/iecon.1998.724126openalex-snapshot
Construction of a classifier with prior domain knowledge formalised as Bayesian network
inferred← citeshttps://doi.org/10.1145/3386252openalex-snapshot
Generalizing from a Few Examples
inferred← citeshttps://doi.org/10.2139/ssrn.5800457openalex-snapshot
Guided Deep Metric Learning: A Hybrid Approach for Classification
inferred← citeshttps://doi.org/10.48550/arxiv.1904.05046openalex-snapshot
Generalizing from a Few Examples: A Survey on Few-Shot Learning
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