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  2. Parity function - Wikipedia

    en.wikipedia.org/wiki/Parity_function

    Parity only depends on the number of ones and is therefore a symmetric Boolean function.. The n-variable parity function and its negation are the only Boolean functions for which all disjunctive normal forms have the maximal number of 2 n − 1 monomials of length n and all conjunctive normal forms have the maximal number of 2 n − 1 clauses of length n.

  3. Parity learning - Wikipedia

    en.wikipedia.org/wiki/Parity_learning

    Parity learning is a problem in machine learning. An algorithm that solves this problem must find a function ƒ, given some samples (x, ƒ(x)) and the assurance that ƒ computes the parity of bits at some fixed locations. The samples are generated using some distribution over the input.

  4. Category:Functions and mappings - Wikipedia

    en.wikipedia.org/.../Category:Functions_and_mappings

    Self-concordant function; Semi-differentiability; Semilinear map; Set function; List of set identities and relations; Shear mapping; Shekel function; Signomial; Similarity invariance; Soboleva modified hyperbolic tangent; Softmax function; Softplus; Splitting lemma (functions) Squeeze theorem; Steiner's calculus problem; Strongly unimodal ...

  5. Neural operators - Wikipedia

    en.wikipedia.org/wiki/Neural_operators

    Operator learning is a machine learning paradigm to learn solution operators mapping the input function to the output function. Using traditional machine learning methods, addressing this problem would involve discretizing the infinite-dimensional input and output function spaces into finite-dimensional grids and applying standard learning ...

  6. Circuit complexity - Wikipedia

    en.wikipedia.org/wiki/Circuit_complexity

    The first function for which superpolynomial circuit lower bounds were shown was the parity function, which computes the sum of its input bits modulo 2. The fact that parity is not contained in AC 0 was first established independently by Ajtai in 1983 [3] [4] and by Furst, Saxe and Sipser in 1984. [5]

  7. Hamming (7,4) - Wikipedia

    en.wikipedia.org/wiki/Hamming(7,4)

    The original 4 data bits are converted to seven bits (hence the name "Hamming(7,4)") with three parity bits added to ensure even parity using the above data bit coverages. The first table above shows the mapping between each data and parity bit into its final bit position (1 through 7) but this can also be presented in a Venn diagram. The first ...

  8. Hadamard code - Wikipedia

    en.wikipedia.org/wiki/Hadamard_code

    To obtain a code over the alphabet {0,1}, the mapping −1 ↦ 1, 1 ↦ 0, or, equivalently, x ↦ (1 − x)/2, is applied to the matrix elements. That the minimum distance of the code is n /2 follows from the defining property of Hadamard matrices, namely that their rows are mutually orthogonal.

  9. Small-bias sample space - Wikipedia

    en.wikipedia.org/wiki/Small-bias_sample_space

    In theoretical computer science, a small-bias sample space (also known as -biased sample space, -biased generator, or small-bias probability space) is a probability distribution that fools parity functions. In other words, no parity function can distinguish between a small-bias sample space and the uniform distribution with high probability ...