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» Representing Multiple Theories
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STOC
2003
ACM
122views Algorithms» more  STOC 2003»
16 years 7 months ago
Learning juntas
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
180
Voted
PERCOM
2007
ACM
16 years 6 months ago
The Role of Probabilistic Schemes in Multisensor Context-Awareness
This paper investigates the role of existing "probabilistic" schemes to reason about various everyday situations on the basis of data from multiple heterogeneous physical...
Waltenegus Dargie
CVPR
2010
IEEE
16 years 2 months ago
Convex Shape Decomposition
In this paper, we propose a new shape decomposition method, called convex shape decomposition. We formalize the convex decomposition problem as an integer linear programming probl...
Liu Hairong, Longin Jan Latecki, Liu Wenyu
ARTCOM
2009
IEEE
16 years 1 months ago
Image Segmentation - A Survey of Soft Computing Approaches
—Soft Computing is an emerging field that consists of complementary elements of fuzzy logic, neural computing and evolutionary computation. Soft computing techniques have found w...
N. Senthilkumaran, R. Rajesh
BIBE
2009
IEEE
210views Bioinformatics» more  BIBE 2009»
16 years 1 months ago
Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining
- The increase in autism prevalence has been the motivation for much research which has produced various theories for its causation. Genetic and environmental factors have been inv...
Christina Schweikert, Yanjun Li, David Dayya, Davi...