Sciweavers

4255 search results - page 11 / 851
» On Learning Boolean Functions
Sort
View
AI
1999
Springer
13 years 7 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»
13 years 11 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
13 years 11 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
14 years 8 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»
12 years 7 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