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Simple learning algorithms using divide and conquer
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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.1995.1164openalex-snapshot
Exact Learning Boolean Functions via the Monotone Theory
inferredcites →https://doi.org/10.1016/b978-1-55860-146-8.50014-xopenalex-snapshot
Learning Functions of k Terms
inferredcites →https://doi.org/10.1109/sfcs.1993.366857openalex-snapshot
Exact learning via the Monotone theory
inferredcites →https://doi.org/10.1137/0220019openalex-snapshot
Interpolation and Approximation of Sparse Multivariate Polynomials over $GF(2)$
inferredcites →https://doi.org/10.1137/0222080openalex-snapshot
Learning Decision Trees Using the Fourier Spectrum
inferredcites →https://doi.org/10.1145/129712.129748openalex-snapshot
Fast learning of k -term DNF formulas with queries
inferredcites →https://doi.org/10.1145/138027.138061openalex-snapshot
Learning read-once formulas with queries
inferredcites →https://doi.org/10.1145/167088.167200openalex-snapshot
Efficient noise-tolerant learning from statistical queries
inferredcites →https://doi.org/10.1145/168304.168310openalex-snapshot
Asking questions to minimize errors
inferredcites →https://doi.org/10.1145/174644.174647openalex-snapshot
Cryptographic Limitations on Learning Boolean Formulae and Finite Automata
inferredcites →https://doi.org/10.1145/180139.181095openalex-snapshot
Learning monotone log-term DNF formulas
inferredcites →https://doi.org/10.1145/195058.195147openalex-snapshot
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
inferredcites →https://doi.org/10.1145/28395.28426openalex-snapshot
On the learnability of Boolean formulae
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1006/inco.2001.3065openalex-snapshot
The Query Complexity of Finding Local Minima in the Lattice
inferred← citeshttps://doi.org/10.1007/11894841_17openalex-snapshot
On Exact Learning from Random Walk
inferred← citeshttps://doi.org/10.1007/3-540-44581-1_37openalex-snapshot
On Learning Monotone DNF under Product Distributions
inferred← citeshttps://doi.org/10.1007/3-540-44581-1_38openalex-snapshot
Learning Regular Sets with an Incomplete Membership Oracle
inferred← citeshttps://doi.org/10.1007/978-3-030-26176-4_13openalex-snapshot
On Exactly Learning Disjunctions and DNFs Without Equivalence Queries
inferred← citeshttps://doi.org/10.1007/978-3-031-19135-0_1openalex-snapshot
SAT-Based Invariant Inference and Its Relation to Concept Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-92932-8_3openalex-snapshot
On Exact Learning of d-Monotone Functions
inferred← citeshttps://doi.org/10.1007/978-3-540-70575-8_41openalex-snapshot
Efficiently Testing Sparse GF(2) Polynomials
inferred← citeshttps://doi.org/10.1007/978-3-642-40935-6_4openalex-snapshot
Exact Learning from Membership Queries: Some Techniques, Results and New Directions
inferred← citeshttps://doi.org/10.1007/s00453-010-9426-9openalex-snapshot
Efficiently Testing Sparse GF(2) Polynomials
inferred← citeshttps://doi.org/10.1007/s10489-014-0550-0openalex-snapshot
Learning in context: enhancing machine learning with context-based reasoning
inferred← citeshttps://doi.org/10.1016/j.jcss.2004.01.006openalex-snapshot
On approximating weighted sums with exponentially many terms
inferred← citeshttps://doi.org/10.1016/j.jcss.2004.10.001openalex-snapshot
Exact learning of DNF formulas using DNF hypotheses
inferred← citeshttps://doi.org/10.1016/j.jcss.2007.04.010openalex-snapshot
Learning with errors in answers to membership queries
inferred← citeshttps://doi.org/10.1016/j.tcs.2018.04.034openalex-snapshot
Exact learning from an honest teacher that answers membership queries
inferred← citeshttps://doi.org/10.1109/ccc.2006.27openalex-snapshot
Minimizing DNF Formulas and AC^0_d Circuits Given a Truth Table
inferred← citeshttps://doi.org/10.1109/focs.2004.37openalex-snapshot
Learning with Errors in Answers to Membership Queries (Extracted Abstract)
inferred← citeshttps://doi.org/10.1137/060664537openalex-snapshot
Minimizing Disjunctive Normal Form Formulas and $AC^0$ Circuits Given a Truth Table
inferred← citeshttps://doi.org/10.1145/225058.225125openalex-snapshot
On the Fourier spectrum of monotone functions
inferred← citeshttps://doi.org/10.1145/279943.280000openalex-snapshot
The query complexity of finding local minima in the lattice
inferred← citeshttps://doi.org/10.1145/307400.307415openalex-snapshot
On learning in the presence of unspecified attribute values
inferred← citeshttps://doi.org/10.1145/337244.337257openalex-snapshot
Learning functions represented as multiplicity automata
inferred← citeshttps://doi.org/10.1145/3434296openalex-snapshot
Learning the boundary of inductive invariants
inferred← citeshttps://doi.org/10.1145/3717823.3718262openalex-snapshot
DNF Learning via Locally Mixing Random Walks
inferred← citeshttps://doi.org/10.1145/3798129.3800766openalex-snapshot
Learning CNF Formulas from Uniform Random Solutions in the Local Lemma Regime
inferred← citeshttps://doi.org/10.1145/509907.509976openalex-snapshot
Exact learning of DNF formulas using DNF hypotheses
inferred← citeshttps://doi.org/10.48550/arxiv.0805.1765openalex-snapshot
Efficiently Testing Sparse GF(2) Polynomials
inferred← citeshttps://doi.org/10.48550/arxiv.1111.1124openalex-snapshot
Tight Bounds on Proper Equivalence Query Learning of DNF
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