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A thesis in inductive inference
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/malq.19820282708openalex-snapshot
Inductive Inference and Computable One‐One Numberings
inferredcites →https://doi.org/10.1002/malq.19840300904openalex-snapshot
CONNECTIONS BETWEEN IDENTIFYING FUNCTIONALS, STANDARDIZING OPERATIONS, AND COMPUTABLE NUMBERINGS
inferredcites →https://doi.org/10.1002/malq.19880340605openalex-snapshot
Probabilistic Versus Deterministic Inductive Inference in Nonstandard Numberings
inferredcites →https://doi.org/10.1007/3-540-08353-7_182openalex-snapshot
Identification of formal languages
inferredcites →https://doi.org/10.1007/3-540-08860-1_37openalex-snapshot
Characterization problems in the theory of inductive inference
inferredcites →https://doi.org/10.1007/3-540-16444-8_22openalex-snapshot
How fast is program synthesis from examples
inferredcites →https://doi.org/10.1007/3-540-18253-5openalex-snapshot
A Connotational Theory of Program Structure
inferredcites →https://doi.org/10.1007/3-540-51734-0_49openalex-snapshot
Inductive inference from good examples
inferredcites →https://doi.org/10.1007/bf03037092openalex-snapshot
Monotonic and non-monotonic inductive inference
inferredcites →https://doi.org/10.1016/0304-3975(83)90061-0openalex-snapshot
Comparison of identification criteria for machine inductive inference
inferredcites →https://doi.org/10.1016/b978-0-08-094829-4.50024-6openalex-snapshot
On the Role of Search for Learning
inferredcites →https://doi.org/10.1016/s0019-9958(67)91165-5openalex-snapshot
Language identification in the limit
inferredcites →https://doi.org/10.1016/s0019-9958(75)90261-2openalex-snapshot
Toward a mathematical theory of inductive inference
inferredcites →https://doi.org/10.1016/s0019-9958(80)90285-5openalex-snapshot
Inductive inference of formal languages from positive data
inferredcites →https://doi.org/10.1016/s0020-0255(80)80006-5openalex-snapshot
Research in the theory of inductive inference by GDR mathematicians—A survey
inferredcites →https://doi.org/10.1093/comjnl/12.1.28openalex-snapshot
Theory of Recursive Functions and Effective Computability
inferredcites →https://doi.org/10.1145/100216.100223openalex-snapshot
On the necessity of Occam algorithms
inferredcites →https://doi.org/10.1145/356914.356918openalex-snapshot
Inductive Inference: Theory and Methods
inferredcites →https://doi.org/10.2307/2316720openalex-snapshot
Theory of Recursive Functions and Effective Computability.
inferredcites →https://doi.org/10.5555/93335.93369openalex-snapshot
On the role of search for learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Characterizations of Monotonic and Dual Monotonic Language Learning
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Machine Induction without Revolutionary Changes in Hypothesis Size
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Comparing the Power of Probabilistic Learning and Oracle Identification Under Monotonicity Constraints
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A unifying approach to monotonic language learning on informant
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Uniform characterizations of various kinds of language learning
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On monotonic strategies for learning r.e. languages
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Language learning under various types of constraint combinations
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Set-driven and rearrangement-independent learning of recursive languages
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Trading monotonicity demands versus mind changes
inferred← citeshttps://doi.org/10.1007/3-540-60217-8_11openalex-snapshot
Classifying recursive predicates and languages
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A guided tour across the boundaries of learning recursive languages
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Inductive learning of recurrence-term languages from positive data
inferred← citeshttps://doi.org/10.1007/3-540-60217-8_2openalex-snapshot
Error detecting in inductive inference
inferred← citeshttps://doi.org/10.1007/3-540-62685-9_7openalex-snapshot
Monotonic and dual-monotonic probabilistic language learning of indexed families with high probability
inferred← citeshttps://doi.org/10.1007/978-3-030-80049-9_13openalex-snapshot
Mapping Monotonic Restrictions in Inductive Inference
inferred← citeshttps://doi.org/10.1007/978-3-030-80049-9_14openalex-snapshot
Normal Forms for Semantically Witness-Based Learners in Inductive Inference
inferred← citeshttps://doi.org/10.1007/978-3-030-80049-9_25openalex-snapshot
Towards a Map for Incremental Learning in the Limit from Positive and Negative Information
inferred← citeshttps://doi.org/10.1007/978-3-030-80049-9_29openalex-snapshot
Learning Languages in the Limit from Positive Information with Finitely Many Memory Changes
inferred← citeshttps://doi.org/10.1007/978-3-031-08740-0_9openalex-snapshot
Maps of Restrictions for Behaviourally Correct Learning
inferred← citeshttps://doi.org/10.1007/978-3-319-11662-4_4openalex-snapshot
A Map of Update Constraints in Inductive Inference
inferred← citeshttps://doi.org/10.1007/978-3-319-11662-4_5openalex-snapshot
On the Role of Update Constraints and Text-Types in Iterative Learning
inferred← citeshttps://doi.org/10.1007/978-3-319-77313-1_13openalex-snapshot
Learners Based on Transducers
inferred← citeshttps://doi.org/10.1007/978-3-540-75225-7_10openalex-snapshot
Learning in Friedberg Numberings
inferred← citeshttps://doi.org/10.1007/978-3-540-75225-7_9openalex-snapshot
Prescribed Learning of R.E. Classes
inferred← citeshttps://doi.org/10.1007/978-3-540-87987-9_34openalex-snapshot
Optimal Language Learning
inferred← citeshttps://doi.org/10.1007/978-3-642-00982-2_4openalex-snapshot
Hypothesis Spaces for Learning
inferred← citeshttps://doi.org/10.1007/978-3-642-34106-9_9openalex-snapshot
Automatic Learning from Positive Data and Negative Counterexamples
inferred← citeshttps://doi.org/10.1007/bf01301967openalex-snapshot
Set-driven and rearrangement-independent learning of recursive languages
inferred← citeshttps://doi.org/10.1007/bfb0030395openalex-snapshot
Dual types of hypotheses in inductive inference
inferred← citeshttps://doi.org/10.1007/bfb0030397openalex-snapshot
Monotonic versus non-monotonic language learning
inferred← citeshttps://doi.org/10.1007/bfb0033340openalex-snapshot
Inductive inference from positive data: from heuristic to characterizing methods
inferred← citeshttps://doi.org/10.1007/s00224-016-9678-0openalex-snapshot
A Solution to Wiehagen’s Thesis
inferred← citeshttps://doi.org/10.1007/s00236-017-0294-5openalex-snapshot
A theory of formal synthesis via inductive learning
inferred← citeshttps://doi.org/10.1007/s10994-012-5301-zopenalex-snapshot
Learning figures with the Hausdorff metric by fractals—towards computable binary classification
inferred← citeshttps://doi.org/10.1016/0304-3975(95)00284-7openalex-snapshot
Monotonic and dual monotonic language learning
inferred← citeshttps://doi.org/10.1016/j.ic.2003.11.001openalex-snapshot
Generalized notions of mind change complexity
inferred← citeshttps://doi.org/10.1016/j.ic.2007.04.001openalex-snapshot
Results on memory-limited U-shaped learning
inferred← citeshttps://doi.org/10.1016/j.ic.2007.09.001openalex-snapshot
Iterative learning from positive data and negative counterexamples
inferred← citeshttps://doi.org/10.1016/j.ic.2008.03.001openalex-snapshot
Learning in Friedberg numberings
inferred← citeshttps://doi.org/10.1016/j.ic.2010.11.016openalex-snapshot
Hypothesis spaces for learning
inferred← citeshttps://doi.org/10.1016/j.ic.2011.07.003openalex-snapshot
Optimal language learning from positive data
inferred← citeshttps://doi.org/10.1016/j.ic.2015.12.005openalex-snapshot
On the role of update constraints and text-types in iterative learning
inferred← citeshttps://doi.org/10.1016/j.ic.2016.06.015openalex-snapshot
Strongly non-U-shaped language learning results by general techniques
inferred← citeshttps://doi.org/10.1016/j.ic.2022.104913openalex-snapshot
Learnability and positive equivalence relations
inferred← citeshttps://doi.org/10.1016/j.tcs.2008.02.021openalex-snapshot
Learning recursive functions: A survey
inferred← citeshttps://doi.org/10.1016/j.tcs.2008.02.030openalex-snapshot
Learning indexed families of recursive languages from positive data: A survey
inferred← citeshttps://doi.org/10.1016/j.tcs.2008.02.031openalex-snapshot
Learning and extending sublanguages
inferred← citeshttps://doi.org/10.1016/j.tcs.2009.01.011openalex-snapshot
Prescribed learning of r.e. classes
inferred← citeshttps://doi.org/10.1016/j.tcs.2012.10.010openalex-snapshot
Memory-limited non-U-shaped learning with solved open problems
inferred← citeshttps://doi.org/10.1016/j.tcs.2015.10.036openalex-snapshot
Topological separations in inductive inference
inferred← citeshttps://doi.org/10.1016/j.tcs.2016.07.028openalex-snapshot
A map of update constraints in inductive inference
inferred← citeshttps://doi.org/10.1016/s0304-3975(00)00273-5openalex-snapshot
Aspects of complexity of probabilistic learning under monotonicity constraints
inferred← citeshttps://doi.org/10.1016/s0304-3975(01)00405-4openalex-snapshot
Learning classes of approximations to non-recursive functions
inferred← citeshttps://doi.org/10.1016/s0304-3975(97)00017-0openalex-snapshot
Probabilistic language learning under monotonicity constraints
inferred← citeshttps://doi.org/10.1016/s0304-3975(97)00018-2openalex-snapshot
Noisy inference and oracles
inferred← citeshttps://doi.org/10.1023/a:1018903922049openalex-snapshot
Generalization and specialization strategies for learning r.e. languages
inferred← citeshttps://doi.org/10.1080/09528130119716openalex-snapshot
On the role of search for learning from examples
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Characterization of language learning front informant under various monotonicity constraints
inferred← citeshttps://doi.org/10.1111/tops.12002openalex-snapshot
On the Necessity of U‐Shaped Learning
inferred← citeshttps://doi.org/10.1145/130385.130427openalex-snapshot
Types of monotonic language learning and their characterization
inferred← citeshttps://doi.org/10.1145/168304.168320openalex-snapshot
Language learning in dependence on the space of hypotheses
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Synthesizing enumeration techniques for language learning
inferred← citeshttps://doi.org/10.1145/267460.267485openalex-snapshot
Generalized notions of mind change complexity
inferred← citeshttps://doi.org/10.3233/com-220421openalex-snapshot
Maps for learning indexable classes
inferred← citeshttps://doi.org/10.4204/eptcs.157.10openalex-snapshot
Are There Good Mistakes? A Theoretical Analysis of CEGIS
inferred← citeshttps://doi.org/10.48550/arxiv.1404.7527openalex-snapshot
A Map of Update Constraints in Inductive Inference
inferred← citeshttps://doi.org/10.48550/arxiv.1505.03953openalex-snapshot
A Theory of Formal Synthesis via Inductive Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1801.10502openalex-snapshot
Learning from Informants: Relations between Learning Success Criteria
inferred← citeshttps://doi.org/10.48550/arxiv.2010.03227openalex-snapshot
Learning Half-Spaces and other Concept Classes in the Limit with Iterative Learners
inferred← citeshttps://doi.org/10.5109/13443openalex-snapshot
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