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Three ? P 2 -complete problems in computational learning theory

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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/bf00116828openalex-snapshot
Queries and Concept Learning
inferredcites →https://doi.org/10.1007/bf00289117openalex-snapshot
The complexity of combinatorial problems with succinct input representation
inferredcites →https://doi.org/10.1016/0022-0000(80)90041-0openalex-snapshot
Finding patterns common to a set of strings
inferredcites →https://doi.org/10.1016/0022-0000(87)90006-7openalex-snapshot
A note on the two-variable pattern-finding problem
inferredcites →https://doi.org/10.1016/0022-0000(90)90028-jopenalex-snapshot
Prediction-preserving reducibility
inferredcites →https://doi.org/10.1016/0304-3975(76)90061-xopenalex-snapshot
The polynomial-time hierarchy
inferredcites →https://doi.org/10.1016/0304-3975(76)90062-1openalex-snapshot
Complete sets and the polynomial-time hierarchy
inferredcites →https://doi.org/10.1016/0304-3975(84)90092-6openalex-snapshot
Deciding the inequivalence of context-free grammars with 1-letter terminal alphabet is ΣP2-complete
inferredcites →https://doi.org/10.1016/b978-1-55860-141-3.50049-3openalex-snapshot
Learning String Patterns and Tree Patterns from Examples
inferredcites →https://doi.org/10.1023/a:1022648800760openalex-snapshot
The Strength of Weak Learnability
inferredcites →https://doi.org/10.1109/sfcs.1982.65openalex-snapshot
Deciding the inequivalence of context-free grammars with 1-letter terminal alphabet is S2p-complete
inferredcites →https://doi.org/10.1109/sfcs.1988.21928openalex-snapshot
Predicting (0, 1)-functions on randomly drawn points
inferredcites →https://doi.org/10.1109/swat.1972.29openalex-snapshot
The equivalence problem for regular expressions with squaring requires exponential space
inferredcites →https://doi.org/10.1145/100216.100223openalex-snapshot
On the necessity of Occam algorithms
inferredcites →https://doi.org/10.1145/322217.322221openalex-snapshot
Equivalences Among Relational Expressions with the Union and Difference Operators
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/10.1145/76359.76371openalex-snapshot
Learnability and the Vapnik-Chervonenkis dimension
inferredcites →https://doi.org/10.1145/800125.804029openalex-snapshot
Word problems requiring exponential time(Preliminary Report)
inferredcites →https://doi.org/10.1145/800141.804678openalex-snapshot
Some connections between nonuniform and uniform complexity classes
inferredcites →https://doi.org/10.1145/800157.805047openalex-snapshot
The complexity of theorem-proving procedures
inferredcites →https://doi.org/10.21236/ad0705364openalex-snapshot
GRAPH THEORY
inferredcites →https://doi.org/10.5555/92571.92613openalex-snapshot
Pattern languages are not learnable
inferredcites →https://doi.org/10.5555/93025.93040openalex-snapshot
Equivalence of models for polynomial learnability
inferredcites →https://doi.org/10.5555/93335.93343openalex-snapshot
A polynomial-time algorithm for learning k-variable pattern languages from examples

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9781118032916.biblioopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1002/9781118595091.refsopenalex-snapshot
References
inferred← citeshttps://doi.org/10.1006/jcss.2000.1729openalex-snapshot
Graph Ramsey Theory and the Polynomial Hierarchy
inferred← citeshttps://doi.org/10.1007/3-540-44418-1_12openalex-snapshot
A Practical Algorithm to Find the Best Subsequence Patterns
inferred← citeshttps://doi.org/10.1007/3-540-46769-6_29openalex-snapshot
On Learning Unions of Pattern Languages and Tree Patterns
inferred← citeshttps://doi.org/10.1007/3-540-60217-8_13openalex-snapshot
Pattern inference
inferred← citeshttps://doi.org/10.1007/978-1-4613-3557-3_15openalex-snapshot
On the Complexity of Min-Max Optimization Problems and their Approximation
inferred← citeshttps://doi.org/10.1007/978-3-030-41672-0_1openalex-snapshot
In Memoriam: Ker-I Ko (1950–2018)
inferred← citeshttps://doi.org/10.1007/978-3-540-39886-8_18openalex-snapshot
Patterns
inferred← citeshttps://doi.org/10.1007/bf03037530openalex-snapshot
Polynomial-time learning of elementary formal systems
inferred← citeshttps://doi.org/10.1007/pl00001593openalex-snapshot
Complexity theoretic hardness results for query learning
inferred← citeshttps://doi.org/10.1016/j.tcs.2018.04.035openalex-snapshot
Revisiting Shinohara's algorithm for computing descriptive patterns
inferred← citeshttps://doi.org/10.1016/s0304-3975(01)00402-9openalex-snapshot
On learning unions of pattern languages and tree patterns in the mistake bound model
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00154openalex-snapshot
Fair Group Summarization with Graph Patterns
inferred← citeshttps://doi.org/10.1109/sct.1995.514862openalex-snapshot
Optimizing TRIEs for ordered pattern matching is Π/sub 2//sup P/-complete
inferred← citeshttps://doi.org/10.1145/301250.301411openalex-snapshot
Graph Ramsey theory and the polynomial hierarchy
inferred← citeshttps://doi.org/10.1145/3319627.3319641openalex-snapshot
In Memoriam
inferred← citeshttps://doi.org/10.1145/3762196openalex-snapshot
The Complexity of Homomorphism Reconstructibility
inferred← citeshttps://doi.org/10.1145/582475.582484openalex-snapshot
SIGACT news complexity theory comun 37
inferred← citeshttps://doi.org/10.1145/601819.601829openalex-snapshot
SIGACT news complexity theory column 38
inferred← citeshttps://doi.org/10.48550/arxiv.cs/0102019openalex-snapshot
Easy and Hard Constraint Ranking in OT: Algorithms and Complexity
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