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» Programming Methodologies in GCLA
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TCAD
2008
93views more  TCAD 2008»
14 years 9 months ago
Chip Optimization Through STI-Stress-Aware Placement Perturbations and Fill Insertion
Starting at the 65-nm node, stress engineering to improve the performance of transistors has been a major industry focus. An intrinsic stress source--shallow trench isolation (STI)...
Andrew B. Kahng, Puneet Sharma, Rasit Onur Topalog...
AUTOMATICA
2005
152views more  AUTOMATICA 2005»
14 years 9 months ago
Identification of dynamical systems with a robust interval fuzzy model
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni
AIM
2000
14 years 9 months ago
Probabilistic Algorithms in Robotics
This article describes a methodology for programming robots known as probabilistic robotics. The probabilistic paradigm pays tribute to the inherent uncertainty in robot perceptio...
Sebastian Thrun
CACM
2002
92views more  CACM 2002»
14 years 9 months ago
Probabilistic robotics
This article describes a methodology for programming robots known as probabilistic robotics. The probabilistic paradigm pays tribute to the inherent uncertainty in robot perceptio...
Sebastian Thrun
ESWS
2010
Springer
15 years 1 months ago
Scalable and Parallel Reasoning in the Semantic Web
Abstract. The current state of the art regarding scalable reasoning consists of programs that run on a single machine. When the amount of data is too large, or the logic is too com...
Jacopo Urbani