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Implementing Valiant's Learnability Theory Using Random Sets
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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.1994.1097openalex-snapshot
Predicting {0, 1}-Functions on Randomly Drawn Points
inferredcites →https://doi.org/10.1007/bf00115895openalex-snapshot
Boolean feature discovery in empirical learning
inferredcites →https://doi.org/10.1016/0004-3702(82)90040-6openalex-snapshot
Generalization as search
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/10.1016/0016-0032(58)90688-4openalex-snapshot
An introduction to probability theory and its applications
inferredcites →https://doi.org/10.1016/b978-0-934613-03-3.50040-4openalex-snapshot
Generalization as Search
inferredcites →https://doi.org/10.1016/b978-0-934613-41-5.50010-6openalex-snapshot
Quasi-Darwinian Learning in a Classifier System
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50019-0openalex-snapshot
An Empirical Comparison of Genetic and Decision-Tree Classifiers
inferredcites →https://doi.org/10.1016/b978-1-55860-141-3.50022-5openalex-snapshot
NEWBOOLE: A Fast GBML System
inferredcites →https://doi.org/10.1023/a:1022611825350openalex-snapshot
Boolean Feature Discovery in Empirical Learning
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.1988.21930openalex-snapshot
Results on learnability and the Vapnik-Chervonenkis dimension
inferredcites →https://doi.org/10.1145/76359.76371openalex-snapshot
Learnability and the Vapnik-Chervonenkis dimension
inferredcites →https://doi.org/10.1162/neco.1989.1.1.151openalex-snapshot
What Size Net Gives Valid Generalization?
inferredcites →https://doi.org/10.2307/2314609openalex-snapshot
An Introduction to Probability Theory and Its Applications.
inferredcites →https://doi.org/10.5555/93025.93043openalex-snapshot
Results on learnability and the Vapnick-Chervonenkis dimension
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-540-24855-2_93openalex-snapshot
High Classification Accuracy Does Not Imply Effective Genetic Search
inferred← citeshttps://doi.org/10.1007/978-3-540-40029-5_6openalex-snapshot
XCS’s Strength-Based Twin: Part II
inferred← citeshttps://doi.org/10.1007/bf00114010openalex-snapshot
Rigorous learning curve bounds from statistical mechanics
inferred← citeshttps://doi.org/10.1007/bf00994111openalex-snapshot
A Framework for Average Case Analysis of Conjunctive Learning Algorithms
inferred← citeshttps://doi.org/10.1016/j.omega.2004.07.012openalex-snapshot
A spanning heuristic for the unordered and ordered matching identification problem
inferred← citeshttps://doi.org/10.1016/s0305-0548(98)00042-2openalex-snapshot
Information availability vs. solution space size in a knowledge acquisition problem
inferred← citeshttps://doi.org/10.1023/a:1011265010691openalex-snapshot
SPT: a stochastic tunneling algorithm for global optimization
inferred← citeshttps://doi.org/10.1023/a:1026499208981openalex-snapshot
Rigorous Learning Curve Bounds from Statistical Mechanics
inferred← citeshttps://doi.org/10.1109/21.120073openalex-snapshot
Robotic learning from distributed sensory sources
inferred← citeshttps://doi.org/10.1109/itw.2013.6691252openalex-snapshot
An impossibility result for high dimensional supervised learning
inferred← citeshttps://doi.org/10.1145/180139.181018openalex-snapshot
Rigorous learning curve bounds from statistical mechanics
inferred← citeshttps://doi.org/10.1162/106365606776022760openalex-snapshot
A Study of Structural and Parametric Learning in XCS
inferred← citeshttps://doi.org/10.1613/jair.227openalex-snapshot
OPUS: An Efficient Admissible Algorithm for Unordered Search
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