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Learning structurally indeterminate clauses
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-0348-6555-5openalex-snapshot
Computational Analysis of Mandarin
inferredcites →https://doi.org/10.1007/bf00117105openalex-snapshot
Learning Logical Definitions from Relations
inferredcites →https://doi.org/10.1007/bfb0027312openalex-snapshot
Stochastic propositionalization of non-determinate background knowledge
inferredcites →https://doi.org/10.1016/0743-1066(94)90035-3openalex-snapshot
Inductive Logic Programming: Theory and methods
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50044-1openalex-snapshot
Relational clichés: Constraining constructive induction during relational learning
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50089-1openalex-snapshot
A knowledge-intensive approach to learning relational concepts
inferredcites →https://doi.org/10.1016/s0004-3702(96)00034-3openalex-snapshot
Solving the multiple instance problem with axis-parallel rectangles
inferredcites →https://doi.org/10.1023/a:1007361708126openalex-snapshot
Integrating Multiple Learning Strategies in First Order Logics
inferredcites →https://doi.org/10.1080/088395198117712openalex-snapshot
Relational knowledge discovery in a chinese character database
inferredcites →https://doi.org/10.1145/130385.130399openalex-snapshot
PAC-learnability of determinate logic programs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/11558590_43openalex-snapshot
Handling Continuous-Valued Attributes in Incremental First-Order Rules Learning
inferred← citeshttps://doi.org/10.1007/3-540-44795-4_5openalex-snapshot
A Framework for Learning Rules from Multiple Instance Data
inferred← citeshttps://doi.org/10.1007/3-540-44797-0_3openalex-snapshot
A Genetic Algorithm for Propositionalization
inferred← citeshttps://doi.org/10.1007/3-540-48751-4_10openalex-snapshot
1BC: A First-Order Bayesian Classifier
inferred← citeshttps://doi.org/10.1007/978-3-642-03070-3_35openalex-snapshot
Concept Learning from (Very) Ambiguous Examples
inferred← citeshttps://doi.org/10.1007/978-3-662-04599-2_11openalex-snapshot
Propositionalization Approaches to Relational Data Mining
inferred← citeshttps://doi.org/10.1007/s10489-005-5602-zopenalex-snapshot
Multi-Instance Learning Based Web Mining
inferred← citeshttps://doi.org/10.1007/s10994-006-5834-0openalex-snapshot
Propositionalization-based relational subgroup discovery with RSD
inferred← citeshttps://doi.org/10.1007/s11063-005-2192-zopenalex-snapshot
Adapting RBF Neural Networks to Multi-Instance Learning
inferred← citeshttps://doi.org/10.1016/j.ins.2016.04.007openalex-snapshot
Discovering useful patterns from multiple instance data
inferred← citeshttps://doi.org/10.1023/a:1025876613117openalex-snapshot
Filtering Multi-Instance Problems to Reduce Dimensionality in Relational Learning
inferred← citeshttps://doi.org/10.1145/1015330.1015334openalex-snapshot
A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning
inferred← citeshttps://doi.org/10.1145/383779.383781openalex-snapshot
An extended transformation approach to inductive logic programming
inferred← citeshttps://doi.org/10.3233/ida-2001-5602openalex-snapshot
Inductive learning from numerical and symbolic data: An integrated framework
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