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» Approximating Boolean Functions by OBDDs
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ECAL
2003
Springer
14 years 1 months ago
Critical Values in Asynchronous Random Boolean Networks
Abstract Wherever we see life, we see different kinds of complex networks, reason why they are studied across various fields of science. Random Boolean Networks (RBNs) form a spe...
Bertrand Mesot, Christof Teuscher
ICANN
2007
Springer
14 years 2 months ago
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set
Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard problem, that is relevant to neural network learning algorithms and to several prob...
Leonardo Franco, José Luis Subirats, Jos&ea...
VMV
2003
154views Visualization» more  VMV 2003»
13 years 10 months ago
Piecewise Linear Approximation of Signed Distance Fields
The signed distance field of a surface can effectively support many geometry processing tasks such as decimation, smoothing, and Boolean operations since it provides efficient a...
Jianhua Wu, Leif Kobbelt
FOCS
1989
IEEE
14 years 18 days ago
Constant Depth Circuits, Fourier Transform, and Learnability
In this paper, Boolean functions in ,4C0 are studied using harmonic analysis on the cube. The main result is that an ACO Boolean function has almost all of its “power spectrum”...
Nathan Linial, Yishay Mansour, Noam Nisan
SIAMCOMP
2011
13 years 3 months ago
The Chow Parameters Problem
Abstract. In the 2nd Annual FOCS (1961), Chao-Kong Chow proved that every Boolean threshold function is uniquely determined by its degree-0 and degree-1 Fourier coefficients. These...
Ryan O'Donnell, Rocco A. Servedio