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Monotonic and non-monotonic inductive inference
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bfb0015939openalex-snapshot
Algorithmic learning from incomplete information: Principles and problems
inferredcites →https://doi.org/10.1145/356914.356918openalex-snapshot
Inductive Inference: Theory and Methods
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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Inductive Learning with Corroboration
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Comparing the Power of Probabilistic Learning and Oracle Identification Under Monotonicity Constraints
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Inductive inference of monogenic pure context-free languages
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Trading monotonicity demands versus mind changes
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A guided tour across the boundaries of learning recursive languages
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Error detecting in inductive inference
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Monotonic and dual-monotonic probabilistic language learning of indexed families with high probability
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Mapping Monotonic Restrictions in Inductive Inference
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Normal Forms for Semantically Witness-Based Learners in Inductive Inference
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String Extension Learning Using Lattices
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Inductive inference from positive data: from heuristic to characterizing methods
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Learning figures with the Hausdorff metric by fractals—towards computable binary classification
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Language learning without overgeneralization
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Monotonic and dual monotonic language learning
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Case-based representation and learning of pattern languages
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Experiments in non-monotonic learning
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Generalized notions of mind change complexity
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On the classification of recursive languages
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Results on memory-limited U-shaped learning
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Iterative learning from positive data and negative counterexamples
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Learning in Friedberg numberings
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Hypothesis spaces for learning
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On the role of update constraints and text-types in iterative learning
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Automatic learning from positive data and negative counterexamples
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On the amount of nonconstructivity in learning formal languages from text
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Learners based on transducers
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On some open problems in monotonic and conservative learning
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Learnability of automatic classes
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Robust learning of automatic classes of languages
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Learning and extending sublanguages
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Topological separations in inductive inference
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Robust learning with infinite additional information
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Aspects of complexity of probabilistic learning under monotonicity constraints
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Probabilistic language learning under monotonicity constraints
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Noisy inference and oracles
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Ordinal mind change complexity of language identification
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Logic program synthesis from incomplete specifications
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Generalization and specialization strategies for learning r.e. languages
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Characterization of language learning front informant under various monotonicity constraints
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Monotonic plan generation assistance: Challenges, open problems & solutions
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An Incremental Learner for Language-Based Anomaly Detection in XML
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On the Necessity of U‐Shaped Learning
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Case-based learning in inductive inference
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Types of monotonic language learning and their characterization
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Language learning in dependence on the space of hypotheses
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Language learning from texts (extended abstract)
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Generalized notions of mind change complexity
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TRADING MONOTONICITY DEMANDS VERSUS EFFICIENCY
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