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The power of self-directed learning

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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.

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What this work says

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

inferredcites →https://doi.org/10.1006/inco.1994.1081openalex-snapshot
A Formal Model of Hierarchical Concept-Learning
inferredcites →https://doi.org/10.1007/bf00992674openalex-snapshot
Lower Bound Methods and Separation Results for On-Line Learning Models
inferredcites →https://doi.org/10.1016/0004-3702(82)90040-6openalex-snapshot
Generalization as search
inferredcites →https://doi.org/10.1016/0004-3702(85)90052-9openalex-snapshot
An analytical comparison of some rule-learning programs
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/10.1016/0097-3165(72)90019-2openalex-snapshot
On the density of families of sets
inferredcites →https://doi.org/10.1016/0890-5401(89)90001-1openalex-snapshot
Learning decision trees from random examples
inferredcites →https://doi.org/10.1016/b978-0-08-094829-4.50028-3openalex-snapshot
SPACE-BOUNDED LEARNING AND THE VAPNIK-CHERVONENKIS DIMENSION
inferredcites →https://doi.org/10.1109/sfcs.1988.21928openalex-snapshot
Predicting (0, 1)-functions on randomly drawn points
inferredcites →https://doi.org/10.1109/sfcs.1989.63488openalex-snapshot
On the complexity of learning from counterexamples
inferredcites →https://doi.org/10.1137/0221019openalex-snapshot
Learning Integer Lattices
inferredcites →https://doi.org/10.1137/0222062openalex-snapshot
Learning Binary Relations and Total Orders
inferredcites →https://doi.org/10.1137/1116025openalex-snapshot
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
inferredcites →https://doi.org/10.1145/1968.1972openalex-snapshot
A theory of the learnable
inferredcites →https://doi.org/10.1145/76359.76371openalex-snapshot
Learnability and the Vapnik-Chervonenkis dimension
inferredcites →https://doi.org/10.5555/93335.93379openalex-snapshot
Space-bounded learning and the Vapnik-Chervonenkis dimension

What points at this work

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

inferred← citeshttps://doi.org/10.1006/jcss.1997.1491openalex-snapshot
A Model of Interactive Teaching
inferred← citeshttps://doi.org/10.1006/jcss.2002.1820openalex-snapshot
Online Learning of Binary and n-ary Relations over Clustered Domains
inferred← citeshttps://doi.org/10.1007/bf00993593openalex-snapshot
Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension
inferred← citeshttps://doi.org/10.1016/0020-0255(96)00082-5openalex-snapshot
Interactive learning of monotone Boolean functions
inferred← citeshttps://doi.org/10.1016/0957-4174(96)00018-8openalex-snapshot
Interactive induction of expert knowledge
inferred← citeshttps://doi.org/10.1016/j.ipl.2023.106429openalex-snapshot
A note on hardness of computing recursive teaching dimension
inferred← citeshttps://doi.org/10.1016/s0895-7177(97)00255-0openalex-snapshot
A Greedy Randomized Adaptive Search Procedure (GRASP) for inferring logical clauses from examples in polynomial time and some extensions
inferred← citeshttps://doi.org/10.1023/a:1007465907571openalex-snapshot
Online Learning versus Offline Learning
inferred← citeshttps://doi.org/10.1023/a:1007510732151openalex-snapshot
Self-Directed Learning and Its Relation to the VC-Dimension and to Teacher-Directed Learning
inferred← citeshttps://doi.org/10.1023/a:1007616604496openalex-snapshot
Adaptive Versus Nonadaptive Attribute-Efficient Learning
inferred← citeshttps://doi.org/10.1109/icaie.2010.5641154openalex-snapshot
Self-Directed Learner
inferred← citeshttps://doi.org/10.1145/225298.225314openalex-snapshot
On self-directed learning
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