Results 1 to 10 of about 362 (126)
Joint Realizability of Monotone Boolean Functions. [PDF]
36 pages, 9 ...
Crawford-Kahrl P, Cummins B, Gedeon T.
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Counting inequivalent monotone Boolean functions
Monotone Boolean functions (MBFs) are Boolean functions $f: {0,1}^n \rightarrow {0,1}$ satisfying the monotonicity condition $x \leq y \Rightarrow f(x) \leq f(y)$ for any $x,y \in {0,1}^n$. The number of MBFs in n variables is known as the $n$th Dedekind number.
Tamon Stephen, Timothy Yusun
exaly +4 more sources
On the Number of Inequivalent Monotone Boolean Functions of 9 Variables
We provide the first-ever calculation of the number of inequivalent monotone Boolean functions of 9 variables, which is equal to 789,204,635,842,035,040,527,740,846,300,252,680.
Bartłomiej Pawelski
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Application of Election Functions to Estimate the Number of Monotone Self-Dual Boolean functions
One of the problems of modern discrete mathematics is R. Dedekind problem on the number of monotone boolean functions. For other precomplete classes, general formulas for the number of functions of the classes had been found, but it has not been found so
Leonid Y. Bystrov, Egor V. Kuzmin
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Approximating the distance to monotonicity of Boolean functions [PDF]
AbstractWe design a nonadaptive algorithm that, given oracle access to a function which is ‐far from monotone, makes poly queries and returns an estimate that, with high probability, is an ‐approximation to the distance of to monotonicity. The analysis of our algorithm relies on an improvement to the directed isoperimetric inequality of Khot, Minzer,
Ramesh Krishnan S. Pallavoor +2 more
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Monotone Boolean Functions with s Zeros Farthest from Threshold Functions [PDF]
Let $T_t$ denote the $t$-threshold function on the $n$-cube: $T_t(x) = 1$ if $|\{i : x_i=1\}| \geq t$, and $0$ otherwise. Define the distance between Boolean functions $g$ and $h$, $d(g,h)$, to be the number of points on which $g$ and $h$ disagree.
Kazuyuki Amano, Jun Tarui
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The Zhegalkin Polynomial of Multiseat Sole Sufficient Operator
Among functionally complete sets of Boolean functions, sole sufficient operators are of particular interest. They have a wide range of applicability and are not limited to the two-seat case.
Leonid Y. Bystrov, Egor V. Kuzmin
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Multi-Angle Fast Neural Tangent Kernel Classifier
Multi-kernel learning methods are essential kernel learning methods. Still, the base kernel functions in most multi-kernel learning methods only with select kernel functions with shallow structures, which are weak for large-scale uneven data.
Yuejing Zhai, Zhouzheng Li, Haizhong Liu
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On the Lyapunov Exponent of Monotone Boolean Networks †
Boolean networks are discrete dynamical systems comprised of coupled Boolean functions. An important parameter that characterizes such systems is the Lyapunov exponent, which measures the state stability of the system to small perturbations.
Ilya Shmulevich
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Locally monotone Boolean and pseudo-Boolean functions [PDF]
We propose local versions of monotonicity for Boolean and pseudo-Boolean functions: say that a pseudo-Boolean (Boolean) function is p-locally monotone if none of its partial derivatives changes in sign on tuples which differ in less than p positions. As it turns out, this parameterized notion provides a hierarchy of monotonicities for pseudo-Boolean ...
Miguel Couceiro +2 more
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