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» On Learning Boolean Functions
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AI
1999
Springer
15 years 1 months ago
Learning by Discovering Concept Hierarchies
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...
COCO
1991
Springer
112views Algorithms» more  COCO 1991»
15 years 5 months ago
Randomized vs.Deterministic Decision Tree Complexity for Read-Once Boolean Functions
We consider the deterministic and the randomized decision tree complexities for Boolean functions, denoted DC(f) and RC(f), respectively. A major open problem is how small RC(f) ca...
Rafi Heiman, Avi Wigderson
DAC
2010
ACM
15 years 5 months ago
Lattice-based computation of Boolean functions
This paper studies the implementation of Boolean functions with lattices of two-dimensional switches. Each switch is controlled by a Boolean literal. If the literal is 1, the swit...
Mustafa Altun, Marc D. Riedel
DAC
2006
ACM
16 years 2 months ago
Symmetry detection for large Boolean functions using circuit representation, simulation, and satisfiability
- Classical two-variable symmetries play an important role in many EDA applications, ranging from logic synthesis to formal verification. This paper proposes a complete circuit-bas...
Jin S. Zhang, Alan Mishchenko, Robert K. Brayton, ...
IACR
2011
108views more  IACR 2011»
14 years 1 months ago
On lower bounds on second-order nonliearities of bent functions obtained by using Niho power functions
Abstract. In this paper we find a lower bound of the second-order nonlinearities of Boolean bent functions of the form f(x) = Trn 1 (α1xd1 + α2xd2 ), where d1 and d2 are Niho ex...
Manish Garg, Sugata Gangopadhyay