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Learning boolean functions in an infinite attribute space
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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/jcss.1995.1004openalex-snapshot
Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes
inferredcites →https://doi.org/10.1016/b978-0-934613-41-5.50037-4openalex-snapshot
Recent Results on Boolean Concept Learning
inferredcites →https://doi.org/10.1016/b978-1-55860-213-7.50018-3openalex-snapshot
Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes
inferredcites →https://doi.org/10.1145/100216.100224openalex-snapshot
Learning boolean functions in an infinite attribute space
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Attribute-Efficient Learning in Query and Mistake-Bound Models
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Discrete Stochastic Search and Its Application to Feature-Selection for Deep Relational Machines
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The Learnability of Description Logics with Equality Constraints
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Stochastic propositionalization of non-determinate background knowledge
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Online Multiclass Learning with k-Way Limited Feedback and an Application to Utterance Classification
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Empirical support for Winnow and Weighted-Majority based algorithms: results on a calendar scheduling domain
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Knowing what doesn't matter: exploiting the omission of irrelevant data
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Selection of relevant features and examples in machine learning
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On learning multivariate polynomials under the uniform distribution
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Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain
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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:1007581123604openalex-snapshot
Learning to Reason with a Restricted View
inferred← citeshttps://doi.org/10.1023/a:1007616604496openalex-snapshot
Adaptive Versus Nonadaptive Attribute-Efficient Learning
inferred← citeshttps://doi.org/10.1023/a:1018098129371openalex-snapshot
On Learning Visual Concepts and DNF Formulae
inferred← citeshttps://doi.org/10.1023/a:1022653502461openalex-snapshot
Learning Boolean Functions in an Infinite Attribute Space
inferred← citeshttps://doi.org/10.1109/cvpr.2000.855892openalex-snapshot
Learning to recognize objects
inferred← citeshttps://doi.org/10.1109/icpr.2006.906openalex-snapshot
Online Learning of Discriminative Patterns from Unlimited Sequences of Candidates
inferred← citeshttps://doi.org/10.1109/sfcs.1995.492486openalex-snapshot
Simple learning algorithms for decision trees and multivariate polynomials
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HIGH‐DIMENSIONAL LEARNING FRAMEWORK FOR ADAPTIVE DOCUMENT FILTERING*
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Analysis of greedy expert hiring and an application to memory-based learning (extended abstract)
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Adaptive versus nonadaptive attribute-efficient learning
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Learning to Recognize Three-Dimensional Objects
inferred← citeshttps://doi.org/10.3115/1220175.1220278openalex-snapshot
Weakly supervised named entity transliteration and discovery from multilingual comparable corpora
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Named entity transliteration and discovery from multilingual comparable corpora
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Interactive feature space construction using semantic information
inferred← citeshttps://doi.org/10.3115/1705475.1705485openalex-snapshot
Comparing learners for Boolean partitions
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