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DM
2010
77views more  DM 2010»
13 years 4 months ago
Representing (0, 1)-matrices by boolean circuits
A boolean circuit represents an n by n (0,1)-matrix A if it correctly computes the linear transformation y = Ax over GF(2) on all n unit vectors. If we only allow linear boolean f...
Stasys Jukna
CORR
2008
Springer
142views Education» more  CORR 2008»
13 years 4 months ago
Declarative Combinatorics: Boolean Functions, Circuit Synthesis and BDDs in Haskell
We describe Haskell implementations of interesting combinatorial generation algorithms with focus on boolean functions and logic circuit representations. First, a complete exact c...
Paul Tarau
CORR
2010
Springer
88views Education» more  CORR 2010»
13 years 4 months ago
A fuzzified BRAIN algorithm for learning DNF from incomplete data
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...
Salvatore Rampone, Ciro Russo
ALGORITHMICA
2010
107views more  ALGORITHMICA 2010»
13 years 4 months ago
Capabilities and Limits of Compact Error Resilience Methods for Algorithmic Self-Assembly
Abstract Winfree's pioneering work led the foundations in the area of errorreduction in algorithmic self-assembly (Winfree and Bekbolatov in DNA Based Computers 9, LNCS, vol. ...
Sudheer Sahu, John H. Reif
IJCAI
1997
13 years 5 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
ICISC
1998
110views Cryptology» more  ICISC 1998»
13 years 5 months ago
The nonhomomorphicity of S-boxes
Abstract. In this paper, we introduce the concept of kth-order nonhomomorphicity of mappings or S-boxes as an alternative indicator that forecasts nonlinearity characteristics of a...
Yuliang Zheng, Xian-Mo Zhang
DAGSTUHL
2006
13 years 6 months ago
The complexity of Boolean functions from cryptographic viewpoint
Cryptographic Boolean functions must be complex to satisfy Shannon's principle of confusion. But the cryptographic viewpoint on complexity is not the same as in circuit compl...
Claude Carlet
ICALP
2010
Springer
13 years 6 months ago
Choosing, Agreeing, and Eliminating in Communication Complexity
We consider several questions inspired by the direct-sum problem in (two-party) communication complexity. In all questions, there are k fixed Boolean functions f1, . . . , fk and ...
Amos Beimel, Sebastian Ben Daniel, Eyal Kushilevit...
EUROCRYPT
1991
Springer
13 years 8 months ago
Boolean Functions Satisfying Higher Order Propagation Criteria
Boolean functions that satisfy higher order propagation criteria are studied. A complete characterization is given of the autocorrelation function and Walsh spectrum of second ord...
Bart Preneel, René Govaerts, Joos Vandewall...
COCO
1991
Springer
112views Algorithms» more  COCO 1991»
13 years 8 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