Learning strategies for the maximally stable diluted binary perceptron

Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics

Volumn 61, Issue 6, 2000, Pages 6261-6269

  Malzahn, D ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY PERCEPTRON; HIGHLY STABLES; HIGHLY-CORRELATED; HYPERCUBE; LEARNING STRATEGY; PARTIAL ENUMERATIONS; VECTOR COMPONENTS;

COMPUTER SIMULATION; CORRELATION METHODS; FOURIER TRANSFORMS; INTEGRAL EQUATIONS; LEARNING ALGORITHMS; PROBABILITY DISTRIBUTIONS;

CONDITIONAL PROBABILITY; MAXIMALLY STABLE DILUTED BINARY PERCEPTRON; SADDLE POINT EQUATION;

NEURAL NETWORKS;

EID: 0034205385     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.61.6261     Document Type: Article

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