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» Population Variance under Interval Uncertainty: A New Algori...
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SAC
2006
ACM
15 years 5 months ago
Interval-based robust statistical techniques for non-negative convex functions, with application to timing analysis of computer
: In chip design, one of the main objectives is to decrease its clock cycle; however, the existing approaches to timing analysis under uncertainty are based on fundamentally restri...
Michael Orshansky, Wei-Shen Wang, Martine Ceberio,...
FOCI
2007
IEEE
15 years 6 months ago
Cardinality, Fuzziness, Variance and Skewness of Interval Type-2 Fuzzy Sets
Abstract— Centroid, cardinality, fuzziness, variance and skewness are all important concepts for an interval type-2 fuzzy set (IT2 FS) because they are all measures of uncertaint...
Jerry M. Mendel, Dongrui Wu
ICCAD
2006
IEEE
95views Hardware» more  ICCAD 2006»
15 years 8 months ago
Robust estimation of parametric yield under limited descriptions of uncertainty
Reliable prediction of parametric yield for a specific design is difficult; a significant reason is the reliance of the yield estimation methods on the hard-to-measure distributio...
Wei-Shen Wang, Michael Orshansky
RSS
2007
176views Robotics» more  RSS 2007»
15 years 1 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
BMCBI
2006
165views more  BMCBI 2006»
14 years 11 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...