Noise-tolerant learning, the parity problem, and the statistical query model

Proceedings of the Annual ACM Symposium on Theory of Computing

Volumn , Issue , 2000, Pages 435-440

  Blum, Avrim ^a   Kalai, Adam ^a   Wasserman, Hal ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL EXTENSION; NOISE-TOLERANT LEARNING; PARITY FUNCTIONS; PARITY PROBLEMS; POLYNOMIAL-TIME ALGORITHMS; STATISTICAL PROPERTIES; STATISTICAL QUERY MODELS; TIME ALGORITHMS;

ALGORITHMS; COMPUTATION THEORY; MATHEMATICAL MODELS; POLYNOMIALS; STATISTICAL METHODS;

STATISTICS; LEARNING SYSTEMS;

NOISE-TOLERANT LEARNING; PARITY PROBLEM; STATISTICAL QUERY MODEL;

EID: 0033702346     PISSN: 07378017     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/335305.335355     Document Type: Conference Paper

References (7)

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