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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...
VDA
2010
206views Visualization» more  VDA 2010»
13 years 10 months ago
Visual discovery in multivariate binary data
This paper presents the concept of Monotone Boolean Function Visual Analytics (MBFVA) and its application to the medical domain. The medical application is concerned with discover...
Boris Kovalerchuk, Florian Delizy, Logan Riggs, Ev...
ECCC
2010
117views more  ECCC 2010»
13 years 6 months ago
Nearly Tight Bounds for Testing Function Isomorphism
We study the problem of testing isomorphism (equivalence up to relabelling of the variables) of two Boolean functions f, g : {0, 1}n → {0, 1}. Our main focus is on the most stud...
Sourav Chakraborty, David García-Soriano, A...
IACR
2011
128views more  IACR 2011»
12 years 7 months ago
Sign Modules in Secure Arithmetic Circuits
In this paper, we study the complexity of secure multiparty computation using only the secure arithmetic black-box of a finite field, counting the cost by the number of secure m...
Ching-Hua Yu
ECCC
2000
158views more  ECCC 2000»
13 years 7 months ago
On the Computational Power of Winner-Take-All
This article initiates a rigorous theoretical analysis of the computational power of circuits that employ modules for computing winner-take-all. Computational models that involve ...
Wolfgang Maass